DEV Community: Timothy Spann

All Data and AI Weekly #245-08 June 2026

Timothy Spann — Mon, 08 Jun 2026 17:01:01 +0000

All Data and AI Weekly #245-08 June 2026

( AI, Data, Agentic AI, Cortex Code, NiFi, Iceberg, Polaris, Streamlit, Python, Java, SQL, MCP, LLM, RAG, Cortex AI, AIFN, Search, Unstructured Data )

A Couple Quick New Links

My Talk at Summmit

https://github.com/tspannhw/SNACKAI-CoCo-TrafficVideo

Early Summary Blog

https://medium.com/@luke.turanski/snowflake-summit-2026-early-recap-and-first-impressions-19178eae675d

Featured: Snowflake to Acquire Natoma - Governed Agentic Access

Snowflake announces intent to acquire Natoma, bringing secure connectivity and governed agentic access to the enterprise. Natoma provides the secure connectivity layer that AI agents need to safely interact with enterprise systems.

Blog: Snowflake to Acquire Natoma for Governed Agentic Access

Press Release: Snowflake Announces Intent to Acquire Natoma

Cortex AI & Agents

Gemini 3.5 Flash for Multimodal Video and Audio (May 28)

Gemini 3.5 Flash is now available in Cortex AI Functions for multimodal video and audio analysis. Frontier multimodal intelligence with Flash-level speed for marketing, content intelligence, compliance, and media analytics.

Release Notes: https://docs.snowflake.com/en/release-notes/2026/other/2026-05-28-gemini-3-5-flash-multimodal-video-audio

Documentation: https://docs.snowflake.com/en/user-guide/snowflake-cortex/ai-multimodal

Claude Opus 4.8

Anthropic releases Claude Opus 4.8 - the latest flagship model with enhanced reasoning and coding capabilities.

AI_EXTRACT Extraction Scores (GA - May 22)

Extraction scores for AI_EXTRACT are now GA. Get confidence scores (0-1) for each extracted value, with support for entities, lists, and tables.

Release Notes: https://docs.snowflake.com/en/release-notes/2026/other/2026-05-22-ai-extract-scores-ga

Documentation: https://docs.snowflake.com/en/sql-reference/functions/ai_extract#extraction-scores

AI_COMPLETE with Fine-Tuned LLMs

Example repository for using AI_COMPLETE with fine-tuned LLMs on Snowflake.

GitHub: https://github.com/sfc-gh-csharkey/AI_COMPLETE_w_FineTunned_LLM

CoCo Control Hub: Self-Service Cortex Code Spend Governance

CoCo Control Hub - a self-service Cortex Code spend governance app built on Streamlit in Snowflake (SiS).

Snowflake Summit 2026: Complete Announcements Report

The Agentic Enterprise — San Francisco, June 1–4, 2026

Report Date: June 8, 2026
Event: Snowflake Summit 26 — Moscone Center, San Francisco

Attendees: 20,000+ in-person, thousands more virtual

Total New Capabilities: 26+

Executive Summary

Snowflake Summit 26 (June 1–4, 2026) was the largest user conference in Snowflake's history, bringing more than 20,000 in-person attendees to the Moscone Center in San Francisco. Under the banner of the "Agentic Enterprise," Snowflake unveiled 26+ new capabilities across six domains designed to transform the AI Data Cloud into a full control plane for enterprise AI.

The summit's headline announcements included:

Brand evolution: Snowflake Intelligence → Snowflake CoWork, Cortex Code → Snowflake CoCo
Snowflake CoCo elevated to a full autonomous development platform with Desktop app, SDK, Cloud Agents, and integration with Vercel, Retool, and Superblocks
Snowflake CoWork expanded with Deep Research, Artifacts (dashboards), User Memory, User Skills, Skill Catalog, and MCP connectors for Google Drive, Salesforce, and Slack
Cortex Sense — a runtime context layer delivering 86% accuracy vs. 24% for generic models
Snowflake Datastream — a fully managed Apache Kafka-compatible streaming service (private preview)
Apache Iceberg V3 general availability with full bidirectional interoperability
Open Semantic Interchange (OSI) — open standard with 54 participating vendors
Horizon Context — three-part (Collect/Enrich/Activate) governed semantic foundation
Cortex Training — custom model training on managed GPUs; 2× more training runs per GPU budget
Agent Identity (GA) — cryptographic, verifiable identity for every AI agent
AI Security Posture Management, data exfiltration policies, Cortex Guard
Cortex AISQL and Dynamic Tables reaching General Availability
$6 billion AWS partnership, Natoma acquisition (MCP gateway), Anthropic expanded partnership
SAP Business Data Cloud Connect — bidirectional zero-copy integration
dbt Labs + Fivetran merger announced at Summit
Sanofi and Thomson Reuters featured as anchor enterprise customers

The company raised its FY27 growth guidance from 27% to 31% year-over-year, driven by unprecedented adoption of CoCo (7,100+ accounts) and CoWork (5,000+ accounts).

Event Overview & Theme

Item	Details
Event Name	Snowflake Summit 26
Dates	June 1–4, 2026
Location	Moscone Center, San Francisco, CA
In-Person Attendees	20,000+
Breakout Sessions	500+
Partners On-Site	200+
Hands-On Labs	39
Customer Speakers	300+
Session Tracks	12
Total New Capabilities	26+

Theme: The Agentic Enterprise

CEO Sridhar Ramaswamy opened the conference articulating his four-block vision for the agentic enterprise:

"The model is not your unique advantage. It's when you combine models with your data that things begin to shine."

Four Building Blocks (from the keynote):

Enterprise Data and Context — governed, AI-ready data foundation
AI Models — any model, without lock-in
Applications — CoWork for knowledge workers, CoCo for builders
Agentic Control Plane — the coordinating layer that makes agents enterprise-ready

Keynote Structure

Keynote	Date/Time	Hosts
Opening Keynote	June 1, 5:00 PM PDT	Sridhar Ramaswamy + Daniela Amodei (Anthropic President)
Platform Keynote	June 2, 9:00 AM PDT	Benoit Dageville + Christian Kleinerman (EVP Product)
Builder Keynote	June 3, 9:00 AM PDT	Live demos, Dev Day, Builder Theater

Platform Keynote YouTube recording: https://www.youtube.com/watch?v=NFTdHYp9uJo

Complete Capabilities Inventory

Snowflake announced 26+ new capabilities across six domains:

Capability	Domain	Status
Snowflake CoWork (Snowflake Intelligence rebrand)	AI Agents + Productivity	GA
Snowflake CoCo (Cortex Code rebrand)	AI Agents + Productivity	GA
CoWork Slackbot	AI Agents + Productivity	Private Preview soon
CoWork iOS App	AI Agents + Productivity	GA soon
CoWork Excel Extension	AI Agents + Productivity	Private Preview soon
Skill Catalog	AI Agents + Productivity	GA
User Skills	AI Agents + Productivity	Public Preview soon
Deep Research	AI Agents + Productivity	GA soon
Artifacts (publishable dashboards)	AI Agents + Productivity	GA soon
Snowflake Horizon Context	Context + Semantics	Private Preview (Wave 1)
Semantic Studio	Context + Semantics	Private Preview
Semantic View Autopilot	Context + Semantics	Public Preview
Cortex Sense	Context + Semantics	GA (in CoWork + CoCo)
Open Semantic Interchange (OSI)	Context + Semantics	Spec finalized
AI Agent Identity	Security + Governance	GA
AI Security Posture Management	Security + Governance	Public Preview
Data Exfiltration Policies	Security + Governance	Public Preview
Multi-Party Authorization	Security + Governance	Public Preview
Cortex Guard (prompt injection ML detection)	Security + Governance	Public Preview
Connected Audit Access	Security + Governance	Private Preview
External Engine Access Management	Security + Governance	Private Preview
Apache Iceberg V3 (read)	Infrastructure + Interoperability	GA (May 2026)
Snowflake Storage for Iceberg Tables	Infrastructure + Interoperability	GA
Zero-Copy Integrations (SAP, Salesforce, Workday, AVEVA, IBM)	Infrastructure + Interoperability	Public Preview
Snowflake Datastream	Infrastructure + Interoperability	Private Preview
Snowflake Openflow	Infrastructure + Interoperability	GA
Cortex Training	AI Infrastructure	Public Preview soon
Adaptive Compute	AI Infrastructure	GA soon
SpaceXAI Grok models	AI Infrastructure	GA
Auto-gen Agents for Data Shares	AI Infrastructure	Public Preview
Natoma acquisition (MCP gateway)	Partnerships + Ecosystem	Acquired
Snowflake + Anthropic expanded partnership	Partnerships + Ecosystem	GA
Snowflake + AWS $6B commitment	Partnerships + Ecosystem	Announced
Collibra bidirectional integration	Partnerships + Ecosystem	Preview (GA Q3 2026)

Major Rebrands: CoWork & CoCo

Snowflake Intelligence → Snowflake CoWork

The business-user-focused personal AI work agent has been officially renamed Snowflake CoWork.

Target audience: Non-technical knowledge workers
Rationale: Emphasizes the "working together" mission of enterprise AI
Product page: https://www.snowflake.com/en/product/snowflake-cowork/

Cortex Code → Snowflake CoCo

Snowflake's AI coding agent has been renamed Snowflake CoCo.

Target audience: Developers, data engineers, technical builders
Rationale: Customers organically called it "CoCo" since launch in November 2025
Product page: https://www.snowflake.com/en/product/features/cortex-code/
Press release: https://www.snowflake.com/en/news/press-releases/snowflake-coco-redefines-enterprise-ai-development-as-the-coding-agent-built-for-faster-easier-and-more-powerful-innovation-anywhere

Adoption Curves

Product	Q3 FY26	Q4 FY26	Q1 FY27
CoWork	~1,200	2,500+	5,000+
CoCo (launched Nov 2025)	—	4,400	7,100+

Both represent "the fastest adoption of any new products in Snowflake's history."

Snowflake CoCo (formerly Cortex Code)

Overview

CoCo is Snowflake's AI coding agent purpose-built for enterprise data workflows. At Summit 2026, it evolved from an AI coding assistant into a full autonomous development platform.

Performance Benchmarks

On ADE-Bench (dbt Labs' framework for evaluating AI agents on real-world data engineering tasks):

Agent	Pass Rate
Snowflake CoCo	72.1%
Anthropic Claude Code	65.1%
OpenAI Codex	65.1%

CoCo also uses 51% fewer tokens and takes 8% less time than Claude Code with Opus 4.7. Two design principles drive efficiency:

Targeted exploration — navigates directly to relevant data rather than exhaustive scanning
Native tools approach — uses Snowflake, dbt, and Airflow tools natively instead of bash-based workarounds

New Features at Summit 2026

CoCo Desktop (GA Soon)

A native desktop application for Windows and macOS:

One place to create data pipelines, build applications, design agents, debug notebooks, visualize data flows
Automations: Schedule recurring tasks (pipeline refreshes, data quality checks, model retraining) governed by Snowflake RBAC with full audit trails
Always-on persistent agent that maintains project context across sessions
MCP integrations and Skill Catalog for reusable institutional best practices

Docs: https://docs.snowflake.com/en/LIMITEDACCESS/cortex-code-desktop

Cloud Agents

Serverless, event-driven workers running inside Snowsight:

Each session gets a dedicated isolated container
Execute shell commands, run Python scripts, install packages, read/write files
Perform dbt builds and tests with dynamically generated Snowflake profile
Search the web for additional context
No local setup or infrastructure required

Docs: https://docs.snowflake.com/en/user-guide/cortex-code/cortex-code-snowsight/cloud-agents

VS Code Extension

CoCo as a first-class VS Code extension with inline schema browsing, query execution, and pipeline debugging.

Claude Code Plugin

Native integration with Anthropic Claude Code via Model Context Protocol:

Plugin available at https://claude.com/plugins/snowflake-cortex-code
Builders using Claude Code can invoke CoCo with full Snowflake schema/governance awareness

CoCo Agent SDK

Programmatic SDK for building custom applications on CoCo's agentic engine:

import { query } from "cortex-code-agent-sdk";

for await (const message of query({
  prompt: `Profile the ORDERS table in MY_DATABASE.ANALYTICS:
    - Total row count and date range covered
    - Null rate for each column
    - Top 5 customers by order volume
    Summarize findings in plain English.`,
  options: {
    cwd: process.cwd(),
    connection: "my-connection",
  },
})) {
  if (message.type === "assistant") {
    for (const block of message.content) {
      if (block.type === "text") process.stdout.write(block.text);
    }
  }
}

SDK features: multi-turn sessions, structured output (JSON schema validation), MCP server integration, hooks for agent behavior, streaming output, system prompts.

Docs: https://docs.snowflake.com/en/user-guide/cortex-code-agent-sdk/cortex-code-agent-sdk

MCP Server & ACP Support

MCP server — CoCo is composable with any MCP-compatible orchestration layer
ACP (Agent Client Protocol) — interoperability with 30+ dev environments (VS Code, Zed, JetBrains, Emacs)

Docs: https://docs.snowflake.com/en/user-guide/cortex-code/cortex-code-mcp

Docs: https://docs.snowflake.com/en/user-guide/cortex-code/cortex-code-acp

Application Integrations (New at Summit)

CoCo now integrates with popular application platforms:

Vercel — deploy data-driven applications from CoCo directly
Retool — build internal tools backed by CoCo's governed data queries
Superblocks — enterprise app development with CoCo intelligence

Microsoft Excel Extension

CoCo as a Microsoft Excel extension — AI-assisted data analysis in spreadsheets.

Slack Integration (Coming Soon — Private Preview)

CoCo Slackbot: data workers can ask questions, trigger workflows, and share results in Slack. Answers are grounded in production data context and user access policies.

Mobile App (Coming Soon)

CoCo mobile app for iOS and Android — monitor pipelines, review task outputs, approve AI-generated workflows from anywhere.

Governance Built In

All operations under user's existing Snowflake RBAC
LLM inference stays within Snowflake's security perimeter
Layered guardrails against prompt injection
Prompt and response logging, query tagging, usage monitoring
Admin-level cost and configuration controls

Resources

Blog: https://www.snowflake.com/en/blog/snowflake-coco-ai-coding-agent-modern-data-stack
Product: https://www.snowflake.com/en/product/features/cortex-code/

Snowflake CoWork (formerly Snowflake Intelligence)

Overview

Snowflake CoWork is the personal AI work agent for knowledge workers — now GA for all Snowflake customers. It is designed to move beyond question-and-answer to actually getting work done: "the system of action for the modern enterprise."

Press release: https://www.snowflake.com/en/news/press-releases/snowflake-cowork-powers-the-agentic-enterprise-as-the-personal-agent-for-knowledge-workers-to-work-smarter

New Features at Summit 2026

Deep Research (GA Soon)

Multi-step reasoning and analysis across structured AND unstructured enterprise data:

Comprehensively searches all company data using multi-step reasoning
Operates within the organization's governed data environment
Delivers fully cited, actionable insights explaining the "why" behind numbers
Powered by an agent swarm orchestration system built by Snowflake's AI Research Team
Outperforms single-agent systems by over one-third on Snowflake's Hybrid Deep Research Benchmark
Blog: https://www.snowflake.com/en/blog/engineering/arcticswarm-hybrid-deep-research

Artifacts (GA Soon)

Publishable interactive dashboards with:

Governed views of live, trusted Snowflake data
Knowledge workers explore via conversation (natural language), not just clicks
Analysts create and publish dashboards; knowledge workers interact in CoWork
Save, share, and collaborate — turning insights into reusable knowledge in daily workflows
Governance and access policies built in from the start

User Memory (Public Preview Soon)

CoWork continuously learns from individuals' behavior:

Adapts recommendations to the user's role over time
Users can schedule tasks and receive timely, role-specific actions
Works through Gmail and Slack integrations

User Skills (Public Preview Soon)

Automate unique workflows tailored to each user's day-to-day tasks:

Turns everyday tasks into automated workflows
Integrates with the Skill Catalog for enterprise-wide sharing and reuse

Skill Catalog (GA)

Enterprise-wide discovery and reuse of proven CoWork and CoCo skills:

Teams share proven agent workflows across the organization
Scales productivity gains beyond individual users

MCP Connectors (GA)

Native Model Context Protocol connectors for external enterprise systems:

Google Drive — access and query Drive documents directly
Salesforce — query CRM data, accounts, opportunities in CoWork
Slack — bring Slack context into agent workflows
Gmail — schedule tasks based on email context
Built on Snowflake's Natoma acquisition for enterprise governance

Cortex Sense (GA in CoWork + CoCo)

See Section 7.

Personal Work Agent

Each user gets their own personalized agent with:

Their own set of skills
Their own MCP connectors
Persistent memory and state across sessions
Multi-agent orchestration — CoWork breaks complex requests into specialized sub-agents automatically

iOS Mobile App (GA Soon)

Native iOS interface for CoWork — knowledge workers take action on data from anywhere.

Slackbot (Private Preview Soon)

CoWork accessible directly in Slack for in-workflow data queries and governed dashboards.

Excel Extension (Private Preview Soon)

CoWork in Microsoft Excel for in-spreadsheet data queries.

Availability Status Summary

Feature	Availability
CoWork (core)	GA
Deep Research	GA soon
Artifacts / Publishable Dashboards	GA soon
User Memory	Public Preview soon
User Skills	Public Preview soon
Skill Catalog	GA
MCP connectors (Google Drive, Salesforce, Slack)	GA
iOS App	GA soon
Slackbot	Private Preview soon
Excel Extension	Private Preview soon
Cortex Sense	GA (within CoWork/CoCo)

Customer Outcomes

Company	Achievement
Synopsys	20+ purpose-built agents across revenue ops, legal, finance, product, IT — leaders query in natural language from Teams
WHOOP	Analyst-gated data now available to hundreds of employees in real time; reduced operational friction
Under Armour	Featured in Platform Keynote
TS Imagine	AI agent = 8.5 FTE; automated customer case resolution, trading/risk analysis
Toyota Motor Europe	Deployment timelines: months → weeks
Samsung	Real-time Galaxy S26 launch monitoring across all regions
United Rentals	5,000+ frontline employees query company data in natural language
Wolfspeed	Equipment troubleshooting: 2 hours → 2 minutes
Cisco	Large-scale data integration and decision acceleration

Snowflake Internal Productivity (Using CoWork)

Metric	Improvement
Job descriptions	60–120 min → 5–15 min
Employee survey analysis	Weeks → minutes
Customer project completion	Up to 5x faster
Response accuracy	+25%
Implementation cycle	Days → hours
Project margins	+40–50%
Customer go-live speed	+40% faster

Cortex Sense — Shared Context Layer

Overview

Cortex Sense is a runtime layer that automatically assembles data, business definitions, and operational knowledge that AI agents need — delivering strong out-of-the-box performance without manual context setup.

Performance Benchmark

Approach	Accuracy on Structured Questions
Cortex Sense (full business context)	86%
Generic frontier models alone	24%

What Cortex Sense Delivers

Component	Description
Business definitions	Centralized metric and dimension definitions
Operational knowledge	Business processes, workflows, and rules
Enterprise context	Org structure, ownership, team responsibilities
Prebuilt plugins	Role-specific plugins for finance, sales, etc.
MCP connectors	Standardized connections to external data sources

Cortex Sense works for both CoWork and CoCo, providing a unified context layer that agents use immediately.

Prebuilt Plugins

Cortex Sense ships with role-specific prebuilt plugins that combine:

Skills and business logic
MCP connectors
Operational knowledge
Production-ready from day one

Teams can go from concept to production in days instead of weeks.

Snowflake Datastream

Overview

Snowflake Datastream is a brand-new, fully managed Apache Kafka-compatible streaming service natively integrated into the Snowflake platform. Currently in private preview, it targets a $128 billion total addressable market.

Architecture

Component	Detail
Protocol	Full Apache Kafka API compatibility
Infrastructure	Fully managed — Snowflake handles brokers, scaling
Data landing	Governed Snowflake or Iceberg tables
BYOC option	Data plane in customer VPC available
Governance	RBAC, encryption, audit logging from day one
Analytics integration	Streaming and analytics side-by-side

Migration Path

Existing Kafka producers and consumers connect with a configuration change only — no code rewrites. The system eliminates the need for separate Kafka brokers, Confluent, Amazon MSK, or Azure Event Hubs clusters.

Use Case with AI

Datastream feeds real-time data directly to CoWork and CoCo agents, enabling:

AI agents that respond to live streaming data
Real-time anomaly detection in governed pipelines
Immediate materialization of streaming events into queryable Snowflake tables

Resources

Product page: https://www.snowflake.com/en/product/features/datastream
Blog: https://www.snowflake.com/en/blog/data-development-simple-as-prompt
Demo video: https://www.youtube.com/watch?v=68DP4ACQSjE

Apache Iceberg V3 & Open Interoperability

Overview

Snowflake reached GA for Apache Iceberg V3 and announced the broadest open interoperability framework in the industry, backed by Snowflake Horizon Catalog powered by Apache Polaris.

Press release: https://www.snowflake.com/en/news/press-releases/snowflake-pioneers-new-open-framework-for-interoperable-enterprise-data-and-ai

What's New in Iceberg V3

Feature	Status
Deletion vectors	GA
Row lineage	GA
Variant type (semi-structured data)	GA
Default column values	GA
External engines READ Snowflake Iceberg	GA
External engines WRITE to Snowflake Iceberg	Public Preview
Snowflake Storage for Iceberg Tables	GA
Iceberg REST Scan Plan API	Available

Bidirectional Interoperability

Via Snowflake Horizon Catalog (embedding open-source Apache Polaris):

Apache Spark, Trino, Flink, Presto, Databricks, Microsoft Fabric — all read/write
Microsoft Fabric: Real-world bidirectional testing validated in production
Databricks Unity Catalog: Compatible

Zero-Copy Integrations (Public Preview)

No data duplication with:

SAP Business Data Cloud
Salesforce
Workday
AVEVA (industrial)
IBM

Snowflake Storage for Iceberg Tables

New managed tier for open-format data:

Single live governed copy of data across Snowflake and external lakes
No data movement required
Horizon Catalog governance on open-format tables

Snowflake's Commitment

Snowflake is on the Apache Polaris steering committee and contributes actively to ensuring Iceberg interoperability is real — not just marketing.

Resources

Developer guide: https://www.snowflake.com/en/developers/guides/interoperable
Engineering blog: https://www.snowflake.com/en/blog/engineering/bidirectional-interoperability-iceberg-snowflake-horizon-catalog
Horizon vs Unity Catalog: https://www.snowflake.com/en/blog/engineering/iceberg-catalog-snowflake-horizon-vs-unity-catalog

Open Semantic Interchange (OSI)

Overview

Open Semantic Interchange (OSI) is a new open standard for sharing semantic models across data tools without vendor lock-in. The specification was finalized and announced at Summit 2026.

Participating Vendors (54 total)

Category	Companies
Governance/Catalog	Atlan, Collibra
Transformation	dbt Labs
Data Platforms	Snowflake, Databricks
Analytics	ThoughtSpot
Integration	Informatica
Financial Services	BlackRock
And 47 more	Full list at `https://open-semantic-interchange.org/`

What OSI Enables

Business definitions (metrics, dimensions, KPIs) flow between tools without rewriting
Semantic views defined in Snowflake are accessible to external AI agents and BI tools
Avoids the semantic layer vendor lock-in problem
Snowflake Horizon Context supports OSI, making trusted business definitions "universally accessible"

Strategic Significance

OSI signals that the industry has accepted semantic interoperability requires open formats — the same pattern that Iceberg validated for data storage. Snowflake's backing of OSI is an explicit bet that owning the semantic layer standard matters more than owning semantic layer lock-in.

Snowflake Horizon Context & Catalog Enhancements

Overview

Horizon Context is a new capability inside Snowflake Horizon Catalog that delivers a governed semantic foundation — ensuring every person, tool, and AI agent operates from the same version of the truth.

Press release: https://www.snowflake.com/en/news/press-releases/snowflake-advances-trusted-ai-with-snowflake-horizon-catalog-centralizing-governance-context-and-security-across-the-enterprise

Blog: https://www.snowflake.com/en/blog/horizon-context-governed-context

The Problem Horizon Context Solves

"An AI agent might recommend increasing prices based on revenue data, but if revenue is defined or calculated in different ways across systems, that recommendation can lead to misinformed decisions."

Traditional semantic layers are separate from the data itself. Horizon Context puts context directly alongside the data where it is governed and maintained.

Three-Part Architecture: Collect → Enrich → Activate

1. Collect — Trusted Business Context

Gather business logic fragmented across SQL, BI dashboards, and agents:

Wave 1 Connectors (Private Preview)	Description
PostgreSQL	Extract schema semantics from Postgres databases
SQL Server	Extract semantics from Microsoft SQL Server
Tableau	Import business logic from Tableau workbooks
Power BI	Import measure definitions from Power BI models
dbt	Extract semantic models and metric definitions from dbt projects

Additional connectors in future waves; OSI provides the standard interoperability layer.

2. Enrich — Automatically Maintain Business Context

Feature	Status	Description
Column-level lineage	GA	Stitch lineage across systems automatically
AI-generated documentation	Available	Auto-generate column/table descriptions
Popularity metrics	Available	Track which tables/columns are most queried
Semantic Studio	Private Preview	Define shared business logic without SQL
Semantic View Autopilot	Public Preview	Auto-creates and refines semantic views over time

Semantic View Autopilot also now auto-creates semantic views for data shared across organizations via Snowflake Marketplace, carrying trusted business context into every AI and analytics workflow.

3. Activate — Extend Trusted Context Everywhere

CoCo integration: CoCo pulls rich business context from Horizon Context automatically, delivering more trustworthy responses even for data outside Snowflake
External AI agent access: External agents can query governed business definitions via Horizon Context
BI tool integration: Tableau, Power BI, and other tools access consistent metric definitions
OSI compatibility: Business definitions portable to any OSI-supporting tool

Customer: BlackRock

"Snowflake's Horizon Context helps extend consistent business definitions across our broader data ecosystem, supporting more trusted and governed AI and analytics experiences at scale."
— Jeff Miller, Managing Director, Global Head of Data Factory & Enterprise Data Platforms, BlackRock

Adaptive Compute Integration

Working seamlessly with Horizon Catalog, Adaptive Compute automatically determines the optimal mix of compute and software resources in real time for AI and app workloads — without manual tuning or infrastructure management.

Cortex Training — Custom Model Training

Overview

Cortex Training extends Snowflake's existing Cortex Fine-tuning service into full custom model training on managed GPU infrastructure — entirely within Snowflake's governed environment.

Press release: https://www.snowflake.com/en/news/press-releases/snowflake-cowork-powers-the-agentic-enterprise-as-the-personal-agent-for-knowledge-workers-to-work-smarter

Key Capabilities

Capability	Detail
Training type	Fine-tuning + full custom training + reinforcement learning
Infrastructure	Fully managed GPU clusters (Snowflake-sourced)
Data governance	Data never leaves Snowflake environment
Efficiency	2× more training runs per equivalent GPU budget vs. alternatives
Supported models	Qwen family, Mistral family, others (open-weight)
Cost model	Pay-as-you-go, no cluster commitment

Why 2× Efficiency Matters

Cortex Training achieves 2× more training runs per GPU budget through:

Optimized scheduling of GPU capacity
No cold-start overhead from external clusters
Direct data access without movement overhead

Featured Customer: Resolve AI

Resolve AI (AI for running and operating software in production) made a multi-million-dollar, two-year commitment to Cortex Training to build domain-specific models:

Uses reinforcement learning (RL) on proprietary training data
Builds models on multi-agent harnesses, simulated environments, and evaluation workflows
Cortex Training provides governed infrastructure to run RL training workloads continuously
Models outperform general-purpose alternatives on production engineering reasoning tasks
Snowflake itself is a Resolve AI customer — Snowflake engineering uses Resolve AI in production workflows

"General-purpose API models will continue to improve, but there is a limit to how far you can get when building on top of them. Production operations for running and managing complex software systems have specific failure modes, reasoning patterns, and the highest bar for accuracy."
— Spiros Xanthos, Founder and CEO, Resolve AI

Status

Cortex Training is in public preview soon. The companion Cortex Fine-tuning service is already GA.

Docs: https://docs.snowflake.com/en/user-guide/snowflake-cortex/cortex-finetuning

AI Security for the Agentic Enterprise

Overview

Summit 2026 introduced a complete zero-trust security suite specifically for AI agents. The organizing frame: traditional security was built for human users, not autonomous AI agents.

Press release: https://www.snowflake.com/en/news/press-releases/snowflake-advances-trusted-ai-with-snowflake-horizon-catalog-centralizing-governance-context-and-security-across-the-enterprise

Blog: https://www.snowflake.com/en/blog/enterprise-ai-security/

McKinsey finding cited: "Nearly two-thirds of organizations cite security as the top barrier to scaling AI."

New Security Capabilities

Agent Identity (GA) ✅

Cryptographic, verifiable identity for every AI agent before data access:

Per-agent RBAC — NOT inherited from user credentials
Dynamic data masking by agent type
Complete audit trail of every single agent activity
Prevents rogue agent actions
Prevents privilege escalation through agent chains

AI Security Posture Management (Public Preview)

Continuous monitoring within Snowflake Trust Center:

Monitor security posture of AI systems continuously
Investigate violations faster with AI-guided, context-aware assistance
Accelerate risk response
Reduce alert fatigue as AI workloads scale

Data Exfiltration Policies (Public Preview)

Block specific data movements during agent operations
Granular control per operation type
Prevent unauthorized data exposure through agentic workflows

Multi-Party Authorization (Public Preview)

Require two administrators or two users to approve sensitive agent actions
Four-eyes principle for high-risk operations
Full audit trail on all approvals

Cortex Guard (Public Preview)

ML-driven threat detection with:

Prompt injection detection — block jailbreak attempts
Detection of emerging zero-day vulnerabilities
Stops threats at machine speed
Works inline in agent workflows without slowing innovation

Connected Audit Access (Private Preview)

Unified audit access within Horizon Catalog for cross-system visibility — see exactly what every agent accessed, when, and why.

External Engine Access Management (Private Preview)

Controls access to Snowflake data from external compute engines (Spark, Databricks, etc.) — apply governance to data accessed from outside Snowflake's perimeter.

Security Customers

Enterprises exploring these new AI security capabilities:

Acxiom — securing AI access to personally identifiable data
NewDay — scaling AI with compliance accountability
Thomson Reuters — securing AI access to sensitive professional data

Cortex AISQL — General Availability

Overview

Cortex AISQL reached General Availability at Summit 2026. Run AI inference directly inside SQL queries, unified across structured and unstructured data.

Core Functions

Function	Description
`AI_FILTER`	Filter rows using natural language criteria
`AI_AGG`	Aggregate unstructured content with AI synthesis
`AI_EXTRACT`	Extract structured fields from unstructured text
`AI_CLASSIFY`	Classify text or content into categories
`AI_SENTIMENT`	Analyze sentiment of text

Example

SELECT
    o.customer_id,
    o.order_value,
    AI_CLASSIFY(t.transcript_text, ['positive', 'negative', 'neutral']) AS sentiment
FROM orders o
JOIN support_transcripts t ON o.customer_id = t.customer_id
WHERE o.order_date >= '2026-01-01';

AI Redact (Public Preview Coming Soon)

PII and sensitive data detection inside AISQL pipelines:

Auto-detect SSNs, account numbers, HIPAA-relevant identifiers
Scrub fields before they reach AI models
Removes a major procurement blocker for regulated industries

Dynamic Tables — General Availability

Overview

Dynamic Tables reached General Availability — enabling declarative, continuously refreshed AI inference pipelines.

Example: Continuous Sentiment Pipeline

CREATE OR REPLACE DYNAMIC TABLE customer_sentiment
    TARGET_LAG = '5 minutes'
    WAREHOUSE = analytics_wh
AS
SELECT
    review_id,
    customer_id,
    review_text,
    AI_SENTIMENT(review_text) AS sentiment_score,
    AI_CLASSIFY(review_text, ['positive', 'neutral', 'negative']) AS sentiment_label,
    CURRENT_TIMESTAMP() AS last_refreshed
FROM raw_customer_reviews;

Write the AI SQL once
Snowflake handles incremental refresh automatically
No orchestration code required

Docs: https://docs.snowflake.com/en/user-guide/dynamic-tables-intro

Snowflake CoWork / Intelligence — General Availability

CoWork is now Generally Available to all Snowflake customers (12,000+).

Metric	Value
Customers with GA access	All 12,000+
Agents deployed in production (early access)	15,000+
Active accounts (Q1 FY27)	5,000+

Developer Mode is included in GA — build custom agents with Snowflake's governed data context and audit logging.

Adaptive Compute — Expanded Availability

Overview

Adaptive Compute (self-sizing warehouse) expanded regional availability and is GA soon.

How It Works

CREATE WAREHOUSE my_adaptive_wh
    WAREHOUSE_TYPE = ADAPTIVE
    MAX_QUERY_PERFORMANCE_LEVEL = 8;

No manual sizing (XS–6XL) — compute is allocated dynamically per query
Small queries → small allocations; large analytical queries → more compute
Set MAX_QUERY_PERFORMANCE_LEVEL cap; Snowflake routes each query to optimal allocation
Compatible with ACCOUNT_USAGE views, resource monitors, and budgets

Integration with Horizon Catalog

Adaptive Compute works alongside Horizon Catalog security and governance, providing a "true serverless experience" that combines governance with operational efficiency.

Blog: https://www.snowflake.com/en/blog/adaptive-compute-performance/

Openflow — Wider General Availability

Overview

Openflow — Snowflake's managed data integration service built on Apache NiFi — reached wider GA at Summit 2026.

Architecture

┌─────────────────────────────────────┐
│  Snowflake (Managed Control Plane)  │
│ - Orchestration, monitoring, config │
└──────────────────┬──────────────────┘
                   │ Control signals only
┌──────────────────▼──────────────────┐
│  Customer VPC (BYOC Data Plane)     │
│  - Apache NiFi runtime              │
│  - Actual data movement             │
│  - Your network, your rules         │
└─────────────────────────────────────┘

BYOC answers the compliance question: data never leaves the customer's environment en route to Snowflake.

Connectors

Connector	Status
Oracle DB	GA (February 2026)
Microsoft SQL Server	Available
PostgreSQL	Available
CDC sources	Available
Event streaming	Available

Product: https://www.snowflake.com/en/product/features/openflow/

SAP Business Data Cloud Partnership

Overview

Bidirectional, zero-copy data sharing between SAP Business Data Cloud and Snowflake — announced at Summit 2026.

Two Products

Product	Description
SAP Snowflake (solution extension)	Snowflake AI capabilities natively inside SAP BDC
SAP BDC Connect for Snowflake	Bidirectional zero-copy: SAP data in Snowflake and Snowflake data in SAP

Zero-Copy Means

No data movement = no synchronization latency
No data duplication = no storage cost doubling
Both platforms see live data simultaneously
No ETL jobs ever needed between SAP and Snowflake analytics

Use Case

Run Cortex AISQL against live SAP finance data. Build CoWork agents on live SAP supply chain data. Train custom models on SAP HR data via Cortex Training. All in real time. All without an ETL job.

Availability: GA targeted H1 2026.

AWS Partnership & $6B Commitment

Press release: https://www.snowflake.com/en/news/press-releases/snowflake-expands-aws-collaboration-with-6b-commitment-to-accelerate-enterprise-agentic-ai-adoption

Item	Detail
Commitment	$6 billion over 5 years
Infrastructure	AWS Graviton chips for Snowflake AI
AI Services	Deeper AWS AI service integration
Region expansion	10 new AWS regions
Purpose	Power the orchestration layer for Snowflake's agentic platform

Natoma Acquisition — MCP Gateway

Press release: https://www.snowflake.com/en/news/press-releases/snowflake-announces-intent-to-acquire-natoma-providing-secure-connectivity-for-the-agentic-enterprise

Item	Detail
Announcement	Intent to acquire announced May 27, confirmed at Summit
What Natoma provides	Enterprise MCP (Model Context Protocol) gateway
Capabilities	Centralized MCP gateway with identity verification, access policies, audit controls at tool-call level
Scope	Governs what actions AI agents can take against APIs, workflows, collaboration systems, and operational systems
Integration	Powers CoWork MCP connectors for Google Drive, Salesforce, Slack

Natoma governs what agents are allowed to do at the external tool level — complementing Agent Identity, which governs who the agent is within Snowflake.

Anthropic Partnership Expansion

Press release: https://www.snowflake.com/en/news/press-releases/snowflake-and-anthropic-accelerate-enterprise-ai-adoption-driven-by-rising-demand-for-governed-ai

Building on the December 2025 expanded partnership ($200M), Summit 2026 formalized the following:

Key Co-Innovation Areas

Area	Detail
Claude in Cortex AI	All Claude models (Haiku, Sonnet, Opus, Claude 4) directly in Cortex AI across all major cloud platforms
CoWork powered by Claude	Claude powers reasoning in Snowflake CoWork for natural language queries and insight synthesis
CoCo powered by Claude	Claude powers the coding intelligence in Snowflake CoCo
Claude Code plugin	CoCo available as plugin in Claude Code at `https://claude.com/plugins/snowflake-cortex-code`
Claude Marketplace	Snowflake is one of six launch partners in Claude Marketplace — simplifies procurement and unlocks joint commercial models
Claude Code Security	Joint development on security capabilities to identify, assess, and remediate vulnerabilities with built-in human oversight

Daniela Amodei at Summit

Anthropic President Daniela Amodei co-keynoted with Sridhar Ramaswamy, defining the enterprise AI moment:

"Snowflake brings the governed data environment enterprises already rely on, and Claude brings the reasoning to put that data to work. Together we're making it easy for organizations to use trusted AI on their most critical business data."
— Steve Corfield, Head of Global Business Development & Partnerships, Anthropic

Customer Momentum (Anthropic + Snowflake)

Customers using Claude in Snowflake Cortex AI: Basis, Block, Carvana, eSentire, Indeed, Notion, and more.

Developer Experience: Workspaces & Git

Snowflake Workspaces

Collaborative development environment inside Snowflake:

Multiple team members build on the same data simultaneously
Replaces coordination across multiple external tools
Integrated with CoCo Desktop

Native Git Integration

Version-controlled SQL, Python, and pipeline code directly from Snowflake
Full commit, branch, and PR workflows from Snowsight
Audit trail on all code changes

Snowflake Dev Day — June 25 (Virtual)

Post-Summit developer event:

"Don't just hear about AI — build it"
Luminary talks and hands-on labs
Free registration: https://www.snowflake.com/en/events/

AI Models & Model Marketplace

Cortex AI Model Catalog

Provider	Models
Anthropic	Claude 3.5 Sonnet+, Haiku, Opus, Claude 4 series
OpenAI	GPT-4o, GPT-4o mini
Google	Gemini family
Meta	Llama 3.x family
Mistral AI	Mistral Large, 7B, Mixtral
DeepSeek	DeepSeek-V3, DeepSeek-R1
SpaceXAI	NEW at Summit: Grok models (GA)
Open-weight (trainable)	Qwen, Mistral, Llama via Cortex Training

Auto-gen Agents for Data Shares (Public Preview)

Snowflake Marketplace datasets now automatically generate:

Cortex Agents ready to query the dataset
Semantic Views carrying trusted business context
Deployed with no manual configuration

This opens Snowflake Marketplace to AI-native data products.

Model Selection Philosophy

"Models keep changing, capabilities keep advancing. But the data is constant. Our offer to customers: we help AI models connect to enterprise data and enterprise context with security in mind."
— Christian Kleinerman, EVP Product, Snowflake

dbt Labs + Fivetran Merger

Announced at Summit 2026: dbt Labs and Fivetran are merging into a single company.

Item	Detail
Companies	dbt Labs (transformation) + Fivetran (data integration)
Combined vision	"Trusted agents using open data infrastructure principles"
dbt Core v2.0	In alpha; supports Snowflake, BigQuery, Databricks, Redshift
Relevance to Snowflake	Atlan, dbt, Fivetran, and Snowflake all participating in OSI

This merger creates a unified open data infrastructure stack and deepens Snowflake's partner ecosystem. dbt's semantic layer and Fivetran's connectors will likely align with OSI standards.

Collibra Integration

Announced at Summit 2026: Snowflake and Collibra announced an expanded bidirectional integration.

Item	Detail
Direction	Bidirectional metadata flow
From Collibra → Snowflake	Governed metadata, tags, and policies into Horizon Catalog and Cortex
From Snowflake → Collibra	Technical metadata back to Collibra
Semantic alignment	Semantic models aligned to OSI published as semantic views
Status	Preview (GA targeted Q3 2026)

Collibra-governed business glossary terms flow into Snowflake's AI context layer, enabling CoWork and CoCo to answer with enterprise-defined vocabulary.

Auto-gen Agents for Data Shares

Status: Public Preview

Snowflake Marketplace datasets now automatically generate AI agents and semantic views:

New listings come pre-equipped with Cortex Agents
Agents can answer natural language questions about the dataset immediately
Semantic Views carry governed business context
Reduces time-to-value for marketplace data consumers from days to minutes

Snowflake Postgres

Overview

Snowflake's managed PostgreSQL-compatible OLTP service continues to evolve as a key part of the platform strategy.

Capability	Status
Full PostgreSQL wire protocol compatibility	GA
OLTP workloads alongside Snowflake analytics	GA (Unistore architecture)
pg_lake → Iceberg tables integration	Available
Catalog integration via `CATALOG_SOURCE = SNOWFLAKE_POSTGRES`	Available

pg_lake + Iceberg

Snowflake Postgres exposes tables as Iceberg tables via pg_lake
These tables are readable by Snowflake Analytics using catalog integration
Enables analytics on live OLTP data without ETL

Partner Ecosystem Highlights

Announcements by Partner

Partner	Announcement
Anthropic	Expanded partnership; Daniela Amodei keynote; Claude in Cortex + CoWork + CoCo; Claude Marketplace launch partner
SAP	BDC Connect zero-copy bidirectional integration
AWS	$6B 5-year commitment; Graviton infrastructure; 10 new regions
Microsoft	Fabric Iceberg bidirectional (validated); Excel extensions for CoCo/CoWork
Salesforce	Zero-copy integration; MCP connector via Natoma
Workday	Zero-copy integration; MCP connector via Natoma
Aveva	Zero-copy industrial data integration
IBM	Zero-copy data integration
Collibra	Bidirectional metadata flow; GA Q3 2026
Atlan	OSI founding member; context layer for Snowflake
Elementum	AI-native SaaS replacement; Sanofi deployment
Resolve AI	Multi-million dollar Cortex Training commitment
dbt Labs + Fivetran	Merger announced; OSI participation
Accenture	Featured in opening keynote; enterprise AI deployment
Deloitte	Enterprise AI deployment partner; Jason Salzetti quote

Snowflake Dev Day (Post-Summit)

Free virtual event June 25, 2026:

Hands-on labs with the full agentic data stack
Luminary talks from Snowflake engineers
Build your first agent, semantic view, and CoCo workflow

Partner Awards

Snowflake Partner Awards — recognized innovation and impact across the global ecosystem
Data Drivers Awards — customer recognition for driving business impact

Customer Success Stories

Flagship: Thomson Reuters

Press release: https://www.snowflake.com/en/news/press-releases/thomson-reuters-powers-trusted-enterprise-ai-at-scale-on-snowflake

Metric	Value
Internal users	1,500+ daily
Tables governed	37,500+
Data sources connected	350
Workload performance	Up to 3.4× faster
Complex analysis speed	Weeks → seconds
Snowflake on platform since	2021

Thomson Reuters uses CoCo to modernize legacy systems. Key products powered: CoCounsel (AI for legal), Westlaw. AI security capabilities explored to scale governed enterprise AI responsibly.

Flagship: Sanofi

Press release: https://www.snowflake.com/en/news/press-releases/sanofi-chooses-snowflake-to-accelerate-its-ai-powered-drug-development

Customer video: https://www.youtube.com/watch?v=iu9up54Dl6Q

Goal: Become the first biopharma company powered by AI at scale.

Area	Achievement
"Concierge for Field"	AI agent that prepares sales reps for every physician visit — pre-call plan in seconds
Domains	R&D, procurement, IT, HR, field sales
Partner	Elementum (AI-native SaaS replacement) runs directly on Snowflake
Data	Clinical data at scale processed in Snowflake for R&D decisions
Key quote	"We are building AI directly on our data and reinventing how the company runs" — Emmanuel Frenehard, CDO, Sanofi

CoCo Customer Outcomes

Company	Achievement
Thomson Reuters	Insights in days vs. weeks; 37,500+ governed tables; 3.4× faster workloads
Fanatics	Dev timelines from weeks to hours; FanGraph democratized for business users
evolv	500+ hours saved in first 20 days; ~$100K in value generated
Infinite Lambda	Complete Customer 360 app built in 5 hours
WHOOP	Developer productivity doubled; 100+ workflows automated in weeks
Block	AI agents for compliance, security, trading across Square, Cash App, Afterpay

CoWork Customer Outcomes

Company	Achievement
Synopsys	20+ agents across 5 departments; leaders query in natural language from Teams
WHOOP	Analyst-gated data accessible to hundreds of employees in real time
Under Armour	Featured in Platform Keynote
TS Imagine	AI agent = 8.5 FTE; trading/risk management automation
Toyota Motor Europe	Deployment timelines: months → weeks
Samsung	Real-time Galaxy S26 launch visibility across regions
United Rentals	5,000+ frontline users with natural language data queries
Wolfspeed	Equipment troubleshooting: 2 hours → 2 minutes
Indeed	Self-service analytics across all employees; faster hiring platform improvements
Carvana	Dynamic inventory, logistics, financing AI — secure, governed, at scale
Notion	Data Scout agent pulls from Snowflake to surface real-time business insights
Basis	AI-driven marketing automation with transparency and governance

Snowflake Internal Results (Using Own Products)

Metric	Value
CoCo adoption	7,100+ customer accounts
Automated workflows created (internally)	100+ across finance, HR, marketing, sales
Case resolution improvement	25%
Engineer throughput increase	25%
Developer productivity	Doubled (PRs + code output)
Productivity equivalent recovered (sales org)	~90 FTE annually
CoCo user count (Snowflake internal)	Growing rapidly

Key Keynotes & Speakers

Opening Keynote — June 1, 2026

Speaker	Role	Key Message
Sridhar Ramaswamy	CEO, Snowflake	Agentic enterprise vision; four building blocks; data as the constant advantage
Daniela Amodei	Co-Founder & President, Anthropic	Enterprise AI requires grounded data; Snowflake + Anthropic = governed AI at scale
Accenture leader	Global SI partner	Enterprise AI deployment at scale
Sanofi CDO	Emmanuel Frenehard	First biopharma powered by AI at scale

Platform Keynote — June 2, 2026

Speaker	Role	Topic
Benoit Dageville	Co-Founder & President of Product	Open architecture vision; interoperability
Christian Kleinerman	EVP of Product	CoWork/CoCo rebrands; Datastream; Iceberg V3; Security; OSI
Caitlin Halferty	Head of Data & Analytics, Thomson Reuters	CoCo deployment at scale; 3.4× workload improvement
Under Armour	Customer	CoWork deployment

YouTube recording: https://www.youtube.com/watch?v=NFTdHYp9uJo

Builder Keynote — June 3, 2026

Live demos of the full agentic data stack
Dev Day with hands-on labs and community sessions
Snowflake Startup Challenge Finale — winner announced from 100+ country applicants; up to $1M investment opportunity

Special Events

Event	Description
CTO Circle	Invite-only for CTOs scaling AI in production; engineering velocity and risk management
Dev Day	Builder-focused; Gen AI bootcamps; Startup Challenge
Basecamp Expo Hall	200+ partner demos; 1:1 expert consultations
Braindate	Peer-to-peer connection platform integrated into Summit app
Executive Program	Private boardroom discussions for senior leaders

Platform Metrics & Business Impact

Customer and Usage Metrics

Metric	Value
Total Snowflake customers	13,900+
Global 2000 customers	810
Customers using AI weekly	13,600
CoCo customer accounts	7,100+
CoWork customer accounts	5,000+
Agents deployed in production	15,000+
Summit attendees (in-person)	20,000+

Business Impact

Metric	Value
FY27 growth guidance (raised at Summit)	31% YoY (up from 27%)
CEO characterization	"Fastest adoption of any new products in company history"
Total new capabilities announced	26+

CoWork Adoption Curve

Q3 FY26  █████████████  ~1,200 accounts
Q4 FY26  ██████████████████████████  2,500+ accounts  (+108%)
Q1 FY27  █████████████████████████████████████████████  5,000+ accounts  (+100%)

CoCo Adoption Curve

Q4 FY26  ███████████████████████████████████████  4,400 accounts (launch quarter)
Q1 FY27  ██████████████████████████████████████████████████████  7,100+ accounts  (+61%)

Official Press Releases

All press releases published at Snowflake Summit 2026:

Title	Date	URL
Snowflake Makes AI Real for Businesses at Snowflake Summit 26	April 22 (pre-Summit)	`https://www.snowflake.com/en/news/press-releases/snowflake-makes-ai-real-at-snowflake-summit-26-featuring-anthropics-daniela-amodei-and-other-industry-leaders/`
Snowflake Announces Intent to Acquire Natoma	May 27	`https://www.snowflake.com/en/news/press-releases/snowflake-announces-intent-to-acquire-natoma-providing-secure-connectivity-for-the-agentic-enterprise/`
Snowflake Expands AWS Collaboration with $6B Commitment	May 27	`https://www.snowflake.com/en/news/press-releases/snowflake-expands-aws-collaboration-with-6b-commitment-to-accelerate-enterprise-agentic-ai-adoption/`
Snowflake Q1 FY27 Financial Results	May 27	`https://investors.snowflake.com/news/news-details/2026/Snowflake-Reports-Financial-Results-for-the-First-Quarter-of-Fiscal-2027/default.aspx`
Snowflake and Anthropic Accelerate Enterprise AI Adoption	June 1	`https://www.snowflake.com/en/news/press-releases/snowflake-and-anthropic-accelerate-enterprise-ai-adoption-driven-by-rising-demand-for-governed-ai/`
Thomson Reuters Powers Trusted Enterprise AI at Scale on Snowflake	June 2	`https://www.snowflake.com/en/news/press-releases/thomson-reuters-powers-trusted-enterprise-ai-at-scale-on-snowflake/`
Sanofi Chooses Snowflake to Accelerate AI-Powered Drug Development	June 2	`https://www.snowflake.com/en/news/press-releases/sanofi-chooses-snowflake-to-accelerate-its-ai-powered-drug-development/`
Snowflake CoWork Powers the Agentic Enterprise	June 2	`https://www.snowflake.com/en/news/press-releases/snowflake-cowork-powers-the-agentic-enterprise-as-the-personal-agent-for-knowledge-workers-to-work-smarter/`
Snowflake CoCo Redefines Enterprise AI Development	June 2	`https://www.snowflake.com/en/news/press-releases/snowflake-coco-redefines-enterprise-ai-development-as-the-coding-agent-built-for-faster-easier-and-more-powerful-innovation-anywhere/`
Snowflake Advances Trusted AI with Snowflake Horizon Catalog	June 2	`https://www.snowflake.com/en/news/press-releases/snowflake-advances-trusted-ai-with-snowflake-horizon-catalog-centralizing-governance-context-and-security-across-the-enterprise/`
Snowflake Pioneers New Open Framework for Interoperable Enterprise Data and AI	June 2	`https://www.snowflake.com/en/news/press-releases/snowflake-pioneers-new-open-framework-for-interoperable-enterprise-data-and-ai/`

Resources, Links & Repositories

Official Snowflake Resources

Resource	URL
Summit 26 Homepage	`https://www.snowflake.com/en/summit/`
Summit On-Demand Sessions	`https://events.snowflake.com/summit/on-demand/agenda/`
Snowflake Newsroom	`https://www.snowflake.com/en/news/`
Snowflake Blog	`https://www.snowflake.com/en/blog/`
Snowflake Documentation	`https://docs.snowflake.com/`
Developer Guides	`https://www.snowflake.com/en/developers/guides`

Product Documentation

Product	URL
Snowflake CoCo	`https://docs.snowflake.com/en/user-guide/cortex-code/`
CoCo Desktop	`https://docs.snowflake.com/en/LIMITEDACCESS/cortex-code-desktop`
CoCo Agent SDK	`https://docs.snowflake.com/en/user-guide/cortex-code-agent-sdk/cortex-code-agent-sdk`
CoCo Cloud Agents	`https://docs.snowflake.com/en/user-guide/cortex-code/cortex-code-snowsight/cloud-agents`
CoCo MCP Server	`https://docs.snowflake.com/en/user-guide/cortex-code/cortex-code-mcp`
CoCo ACP	`https://docs.snowflake.com/en/user-guide/cortex-code/cortex-code-acp`
Cortex Fine-tuning	`https://docs.snowflake.com/en/user-guide/snowflake-cortex/cortex-finetuning`
Dynamic Tables	`https://docs.snowflake.com/en/user-guide/dynamic-tables-intro`
Adaptive Warehouses	`https://docs.snowflake.com/en/user-guide/warehouses-adaptive`
Snowflake CoWork	`https://www.snowflake.com/en/product/snowflake-cowork/`
Datastream	`https://www.snowflake.com/en/product/features/datastream`
Cortex Agents	`https://docs.snowflake.com/en/user-guide/snowflake-cortex/cortex-agents`

Blog Posts

Topic	URL
CoCo Summit blog	`https://www.snowflake.com/en/blog/snowflake-coco-ai-coding-agent-modern-data-stack`
CoWork Summit blog	`https://www.snowflake.com/en/blog/snowflake-cowork-personal-work-agent`
Cortex AI enterprise platform	`https://www.snowflake.com/en/blog/snowflake-for-ai-enterprise-ai-platform`
Horizon Context blog	`https://www.snowflake.com/en/blog/horizon-context-governed-context`
AI Security blog	`https://www.snowflake.com/en/blog/enterprise-ai-security/`
Adaptive Compute blog	`https://www.snowflake.com/en/blog/adaptive-compute-performance/`
Trusted Data/AI blog	`https://www.snowflake.com/en/blog/trusted-data-trusted-ai`
Agentic control plane	`https://www.snowflake.com/en/blog/agentic-enterprise-control-plane/`
Data Development as Prompt	`https://www.snowflake.com/en/blog/data-development-simple-as-prompt`
Iceberg Bidirectional	`https://www.snowflake.com/en/blog/engineering/bidirectional-interoperability-iceberg-snowflake-horizon-catalog`
ArcticSwarm Deep Research	`https://www.snowflake.com/en/blog/engineering/arcticswarm-hybrid-deep-research`
Semantic View Autopilot	`https://www.snowflake.com/en/blog/semantic-view-autopilot/`

Open Source Projects

Project	Purpose	URL
Apache Polaris	Open-source Iceberg catalog (Snowflake donated)	`https://github.com/apache/polaris`
ADE-Bench	dbt Labs benchmark for AI coding agents	`https://github.com/dbt-labs/ade-bench`
Apache Iceberg	Open table format	`https://github.com/apache/iceberg`
Apache NiFi	Data integration framework (powers Openflow)	`https://github.com/apache/nifi`
Model Context Protocol	Open standard for AI tool connectivity	`https://github.com/modelcontextprotocol/specification`
Open Semantic Interchange	Open standard for semantic model sharing	`https://open-semantic-interchange.org/`

Media Coverage

Outlet	Article
SiliconAngle	`https://siliconangle.com/2026/06/02/ai-agents-open-data-governance-take-center-stage-snowflake-summit/`
Constellation Research	`https://www.constellationr.com/insights/news/snowflake-summit-2026-context-custom-model-training-iceberg-v3`
Diginomica	`https://diginomica.com/snowflake-summit-2026-how-snowflake-making-strategic-shift-towards-agentic-ai`
Atlan	`https://atlan.com/know/snowflake/summit-2026-announcements/`
theCUBE Coverage	`https://www.thecube.net/events/snowflake/snowflake-summit-2026`
ChatForest Recap	`https://chatforest.com/builders-log/snowflake-summit-26-recap-intelligence-ga-cortex-code-openflow-agentic-data-stack/`
Row Zero Insights	`https://rowzero.com/blog/insights-from-snowflake-summit-2026`
Futurum Group	`https://futurumgroup.com/insights/snowflake-summit-2026-four-infrastructure-bets-that-determine-whether-the-agentic-enterprise-delivers/`

Videos

Video	URL
Platform Keynote	`https://www.youtube.com/watch?v=NFTdHYp9uJo`
Snowflake Datastream Demo	`https://www.youtube.com/watch?v=68DP4ACQSjE`
Snowflake AI Pulse: Latest Features	`https://www.youtube.com/watch?v=ELn8eMi3tQk`
Cortex Fine-tuning for Enterprise	`https://www.youtube.com/watch?v=vq9zYypx7_c`
Sanofi Customer Video	`https://www.youtube.com/watch?v=iu9up54Dl6Q`
Thomson Reuters Customer Video	`https://www.snowflake.com/en/customers/all-customers/video/thomson-reuters/`

Developer Resources (Getting Started)

Resource	URL
Build agentic application quickstart	`https://www.snowflake.com/en/developers/guides/build-agentic-application-in-snowflake/`
Cortex Agents docs	`https://docs.snowflake.com/en/user-guide/snowflake-cortex/cortex-agents`
Claude Code Plugin	`https://claude.com/plugins/snowflake-cortex-code`
Dev Day (June 25)	`https://www.snowflake.com/en/events/`

Internal Snowflake Resources

Resource	Access
PLT Data	`SALES.RAVEN.PLT_DATA_VIEW` via Snowhouse
Summit On-Demand Recordings	`https://events.snowflake.com/summit/on-demand/agenda/`
Internal Slack	`#summit-26`, `#coco-feedback`, `#cowork-internal`
What's New Sessions	Available on Summit on-demand portal

Feature Availability Summary

Feature	Status at Summit 2026
Snowflake CoWork (core)	Generally Available
CoWork Deep Research	GA Soon
CoWork Artifacts (dashboards)	GA Soon
CoWork iOS Mobile App	GA Soon
CoWork User Memory	Public Preview Soon
CoWork User Skills	Public Preview Soon
CoWork Skill Catalog	Generally Available
CoWork MCP Connectors (Google Drive, Salesforce, Slack)	Generally Available
CoWork Slackbot	Private Preview Soon
CoWork Excel Extension	Private Preview Soon
Snowflake CoCo (core)	Generally Available
CoCo Desktop	GA Soon
CoCo Cloud Agents	Generally Available
CoCo VS Code Extension	Generally Available
CoCo Agent SDK	Generally Available
CoCo MCP Server	Generally Available
CoCo ACP Support	Generally Available
CoCo Excel Extension	Available
CoCo Slack Integration	Private Preview (Coming Soon)
CoCo Mobile App	Coming Soon
CoCo Vercel / Retool / Superblocks integrations	Available
Cortex Sense	Generally Available (in CoWork + CoCo)
Cortex Training	Public Preview Soon
Cortex AISQL	Generally Available
AI Redact (in AISQL)	Public Preview Coming Soon
Dynamic Tables	Generally Available
Adaptive Compute	GA Soon
Apache Iceberg V3 (read access by external engines)	Generally Available
Apache Iceberg V3 (write access by external engines)	Public Preview
Snowflake Storage for Iceberg Tables	Generally Available
Iceberg REST Scan Plan API	Available
Horizon Context (Collect/Enrich/Activate)	Private Preview (Wave 1)
Semantic Studio	Private Preview
Semantic View Autopilot	Public Preview
Connected Audit Access	Private Preview
External Engine Access Management	Private Preview
Open Semantic Interchange (OSI)	Spec Finalized
Agent Identity	Generally Available
AI Security Posture Management	Public Preview
Data Exfiltration Policies	Public Preview
Multi-Party Authorization	Public Preview
Cortex Guard (prompt injection detection)	Public Preview
Snowflake Datastream	Private Preview
Openflow (wider GA)	Generally Available
SAP BDC Connect	GA Targeted H1 2026
Zero-Copy Integrations (SAP, Salesforce, Workday, AVEVA, IBM)	Public Preview
SpaceXAI Grok models	Generally Available
Auto-gen Agents for Data Shares	Public Preview
Collibra bidirectional integration	Preview (GA Q3 2026)
Natoma MCP Gateway	Available (Acquired)

Summary: The Agentic Enterprise Vision

Snowflake's Four Strategic Pillars at Summit 2026

Pillar	What It Means	Key Announcements
AI-Ready Data	Governed, clean, semantically rich data	Iceberg V3, Horizon Context, Dynamic Tables GA, AI Redact
Model Flexibility	Any model without lock-in	SpaceXAI Grok, Cortex Training, all frontier models
Interoperability	Open, bidirectional connectivity	Iceberg V3 bidirectional, OSI (54 vendors), SAP/Salesforce/Workday/Fabric zero-copy
Agentic Control Plane	Operating system for enterprise intelligence	CoCo Desktop/SDK/Cloud Agents, CoWork Deep Research/Artifacts/Skills

The Agentic Stack (Bottom to Top)

┌─────────────────────────────────────────────────────┐
│  AGENTIC SURFACES                                   │
│  CoWork (knowledge workers) ◄──► CoCo (developers)  │
└─────────────────────────┬───────────────────────────┘
                          │
┌─────────────────────────▼───────────────────────────┐
│  CONTEXT LAYER                                      │
│  Horizon Context + Cortex Sense + Semantic Studio   │
│  OSI standard (54 vendors) + Natoma MCP gateway     │
└─────────────────────────┬───────────────────────────┘
                          │
┌─────────────────────────▼───────────────────────────┐
│  SECURITY LAYER                                     │
│  Agent Identity + AI Security Posture Management    │
│  Cortex Guard + Data Exfiltration Policies          │
└─────────────────────────┬───────────────────────────┘
                          │
┌─────────────────────────▼───────────────────────────┐
│  AI INFRASTRUCTURE                                  │
│  Cortex AI (all frontier models + Cortex Training)  │
│  Adaptive Compute + Managed GPU clusters            │
└─────────────────────────┬───────────────────────────┘
                          │
┌─────────────────────────▼───────────────────────────┐
│  DATA FOUNDATION                                    │
│  Apache Iceberg V3 (GA) + Snowflake Storage         │
│  Datastream (Kafka) + Openflow (NiFi) + Postgres    │
│  SAP/Salesforce/Workday zero-copy integrations      │
└─────────────────────────────────────────────────────┘

Key Strategic Takeaways

Data is constant; models change — Snowflake's durable value is connecting the best AI model today to the enterprise data that is always there
Context is the new competitive moat — Cortex Sense (86% accuracy), Horizon Context, and OSI are bets that semantic context is more defensible than model quality
Security is the #1 barrier, now addressed — Agent Identity (GA) is the direct response to McKinsey's finding that 2/3 of enterprises cite security as the top blocker
Interoperability is a genuine commitment — Apache Polaris steering committee membership, real Fabric testing, OSI spec, 54 vendors — these are verifiable
Both audiences — CoWork for knowledge workers, CoCo for builders — ensuring all 13,900+ customers can access AI value regardless of technical sophistication

CEO's Framing

"The very nature of work is changing. Day-to-day work is about partnering with and guiding intelligent agents, and soon they will be operating across your business continuously, autonomously. This truly is going to be the era of the agentic enterprise."
— Sridhar Ramaswamy, CEO, Snowflake

Appendix A: Glossary

Term	Definition
Agentic Enterprise	Organization where AI agents work alongside humans continuously and autonomously
CoCo	Snowflake CoCo — AI coding agent for developers (formerly Cortex Code)
CoWork	Snowflake CoWork — Personal AI work agent for knowledge workers (formerly Snowflake Intelligence)
Cortex AISQL	SQL functions for running AI inference directly in SQL queries
Cortex Guard	ML-driven detection of prompt injection, jailbreaks, and zero-day AI vulnerabilities
Cortex Sense	Shared runtime context layer providing business definitions to all agents; 86% accuracy
Cortex Training	Snowflake-managed custom model training on GPUs; 2× efficiency vs. alternatives
Datastream	Snowflake's managed Kafka-compatible streaming service
Dynamic Tables	Declarative, auto-refreshing pipeline tables in Snowflake
Horizon Catalog	Snowflake's data governance and discovery layer, embedding Apache Polaris
Horizon Context	Extension of Horizon Catalog with Collect/Enrich/Activate for business metadata and semantic context
Iceberg V3	Latest version of Apache Iceberg with deletion vectors, row lineage, variant type, default values
MCP	Model Context Protocol — open standard for connecting AI tools to data
Natoma	Acquired startup providing enterprise MCP gateway with identity verification and audit controls
Openflow	Snowflake's managed data integration service built on Apache NiFi
OSI	Open Semantic Interchange — open standard for sharing semantic models; 54 participating vendors
SAP BDC	SAP Business Data Cloud
Semantic View Autopilot	AI-powered automatic creation and refinement of semantic views
Semantic Studio	UI for defining shared business logic without SQL expertise
Select Star	Acquired metadata intelligence company whose technology powers Horizon Context
ADE-Bench	Analytics and Data Engineering Benchmark by dbt Labs for evaluating AI coding agents
PEFT	Parameter-Efficient Fine-Tuning — technique for training large models efficiently
BYOC	Bring Your Own Cloud — architecture where data plane runs in customer's VPC

Report compiled from Snowflake official press releases, blog posts, product documentation, and media coverage of Snowflake Summit 2026 (June 1–4, San Francisco). Updated June 8, 2026 to incorporate all official press releases.

All feature availability statuses are sourced from official Snowflake press releases. GA = Generally Available, PR = Public Preview, PrPr = Private Preview.

Sources:

Snowflake Press Release Hub: https://www.snowflake.com/en/news/press-releases/
Atlan Summit Summary: https://atlan.com/know/snowflake/summit-2026-announcements/
SiliconAngle: https://siliconangle.com/2026/06/02/ai-agents-open-data-governance-take-center-stage-snowflake-summit/
Constellation Research: https://www.constellationr.com/insights/news/snowflake-summit-2026-context-custom-model-training-iceberg-v3
Diginomica: https://diginomica.com/snowflake-summit-2026-how-snowflake-making-strategic-shift-towards-agentic-ai

SNACK-AI: The 2026 Pattern

As we look forward in 2026, SNACK-AI is the architectural pattern for powering AI applications at any scale - from mobile phones and robots to massive enterprise clusters.

SNACK-AI integrates:

Snowflake Platform
NiFi (Apache)
Apache Iceberg
Cortex AI (Agents/Search/MCP)
Kafka (Apache Kafka)

Deep Dive into SNACK-AI:

Read: SNACK-AI: The 2026 Pattern (Medium)
Code: Official SNACK-AI GitHub Repository
Weekly Context: SNACK-AI Overview

Thanks

https://sessionize.com/tspann

https://github.com/timothyspann

All Data and AI Weekly #244-01 June 2026

Timothy Spann — Tue, 02 Jun 2026 17:15:13 +0000

All Data and AI Weekly #244-01 June 2026

( AI, Data, Agentic AI, Cortex Code, NiFi, Iceberg, Polaris, Streamlit, Python, Java, SQL, MCP, LLM, RAG, Cortex AI, AIFN, Search, Unstructured Data )

Tim's Corner: IT'S SUMMIT WEEK!

Welcome to issue 244 - the Snowflake Summit 2026 edition! Tomorrow we kick off the biggest data and AI event of the year in San Francisco. I'll be there speaking on NiFi and Agents - come find me! This week Snowflake dropped a flurry of Summit-week announcements: Snowflake is acquiring Natoma for governed agentic access to enterprise systems. Arctic-Text2SQL-R2 beats frontier models on enterprise SQL generation. Zorro introduces enterprise reinforcement learning training that breaks performance bottlenecks. Gemini 3.5 Flash is now available for multimodal video and audio analysis in Cortex AI. Claude Opus 4.8 launched from Anthropic. AI_EXTRACT extraction scores went GA with confidence scoring. Dynamic Tables got adaptive refresh mode (preview) and frozen regions. Custom runtime images for Notebooks and ML Jobs entered preview. Sensitive Data Access reports entered preview. OpenFlow expanded with Aurora PostgreSQL CDC and secured runtimes. The engineering team published on Graph Queries in Postgres with Apache AGE. And I spoke at Budapest Data and AI - slides are up! SEE YOU AT SUMMIT!

SNOWFLAKE SUMMIT 2026 - San Francisco

IT'S HAPPENING NOW!

Snowflake Summit 2026 kicks off tomorrow! Join 10,000+ data professionals in San Francisco for keynotes with Anthropic's Daniela Amodei, 500+ sessions, 200+ partners, hands-on labs, and the biggest announcements in the Snowflake ecosystem.

Tim is speaking on NiFi and Agents! Come say hello.

Snowflake Dev Day (In-Person): https://www.snowflake.com/en/dev-day/in-person/

All Snowflake Events: https://www.snowflake.com/about/events/

June 4: Conf42 Database DevOps - SQL Automation Operations - Virtual

Featured: Snowflake to Acquire Natoma - Governed Agentic Access

Blog: Snowflake to Acquire Natoma for Governed Agentic Access

Press Release: Snowflake Announces Intent to Acquire Natoma

Featured: Arctic-Text2SQL-R2 - Beating Frontier Models on Enterprise SQL

Arctic-Text2SQL-R2 is Snowflake's latest enterprise text-to-SQL model that beats frontier models on enterprise SQL generation benchmarks. Purpose-built for complex enterprise schemas, multi-table joins, and real-world business queries.

Featured: Zorro - Enterprise Reinforcement Learning Training

Zorro introduces enterprise-grade reinforcement learning training that breaks performance bottlenecks, enabling faster iteration on AI model optimization at scale.

Cortex AI & Agents

Gemini 3.5 Flash for Multimodal Video and Audio (May 28)

Release Notes: https://docs.snowflake.com/en/release-notes/2026/other/2026-05-28-gemini-3-5-flash-multimodal-video-audio

Documentation: https://docs.snowflake.com/en/user-guide/snowflake-cortex/ai-multimodal

Claude Opus 4.8

Anthropic releases Claude Opus 4.8 - the latest flagship model with enhanced reasoning and coding capabilities.

AI_EXTRACT Extraction Scores (GA - May 22)

Extraction scores for AI_EXTRACT are now GA. Get confidence scores (0-1) for each extracted value, with support for entities, lists, and tables.

Release Notes: https://docs.snowflake.com/en/release-notes/2026/other/2026-05-22-ai-extract-scores-ga

Documentation: https://docs.snowflake.com/en/sql-reference/functions/ai_extract#extraction-scores

AI_COMPLETE with Fine-Tuned LLMs

Example repository for using AI_COMPLETE with fine-tuned LLMs on Snowflake.

GitHub: https://github.com/sfc-gh-csharkey/AI_COMPLETE_w_FineTunned_LLM

CoCo Control Hub: Self-Service Cortex Code Spend Governance

CoCo Control Hub - a self-service Cortex Code spend governance app built on Streamlit in Snowflake (SiS).

Snowflake Platform Updates

Dynamic Tables: Adaptive Refresh Mode (Preview - May 26)

Adaptive refresh mode (REFRESH_MODE = ADAPTIVE) uses incremental refresh by default but automatically reinitializes when upstream change volume makes incremental refresh more expensive than full refresh. Ideal for workloads with variable change volumes.

Dynamic Tables: Frozen Regions (Renamed - May 28)

Dynamic tables immutability constraints are renamed to frozen regions. IMMUTABLE WHERE becomes FROZEN WHERE.

Custom Runtime Images for Notebooks and ML Jobs (Preview - May 19)

Build, validate, and register custom container images for Snowflake Notebooks and ML Jobs on Container Runtime. Include specific packages, meet compliance requirements, integrate with CI/CD pipelines.

Sensitive Data Access Report (Preview - May 28)

Generate a Sensitive Data Access report to view which users accessed sensitive data during a specified lookback period.

Release Notes: https://docs.snowflake.com/en/release-notes/2026/other/2026-05-28-sensitive-data-access-report-preview

Documentation: https://docs.snowflake.com/en/user-guide/classify-ui-trust-center#label-classify-trust-center-access-report

Git Integration: Public Repos

Updated documentation for setting up public Git repository integrations with Snowflake.

Documentation: https://docs.snowflake.com/en/developer-guide/git/git-setting-up-public

Snowflake CLI: Getting Started Guide

New guide for Snowflake CLI for users migrating from SnowSQL.

Apache Iceberg

Iceberg Internal Storage

Documentation for Iceberg tables with Snowflake-managed internal storage.

Documentation: https://docs.snowflake.com/en/user-guide/tables-iceberg-internal-storage

Iceberg v3 Tables Comprehensive Guide

Complete developer guide for Iceberg v3 tables on Snowflake.

Guide: https://www.snowflake.com/en/developers/guides/iceberg-v3-tables-comprehensive-guide/

The Open Lakehouse: Iceberg Tables via Glue and Athena

Access Snowflake Iceberg tables via AWS Glue and Athena for true open lakehouse interoperability.

Iceberg External Write Support GA

Community deep dive on Iceberg external write support going GA.

OpenFlow

Real-Time CDC from Aurora PostgreSQL to Snowflake with OpenFlow

Stream change data capture from Aurora PostgreSQL to Snowflake in real-time using OpenFlow.

Securing OpenFlow Runtimes

A layered approach to deploy, operate, and monitor OpenFlow runtimes securely.

Engineering Deep Dives

Graph Queries in Postgres with Apache AGE

Snowflake engineering blog on running graph queries in Postgres using Apache AGE - bringing graph analytics to relational databases.

From Legacy BI to an Intelligence Layer

Lessons from Snowflake's own BI migration to an intelligence layer.

Tim's Content

Budapest Data and AI - Talk Materials

Tim spoke at Budapest Data and AI - slides and materials are now available.

Materials: https://budapestdata.hu/en/program/talk-materials/

New SNACK-AI Repositories

SNACKAI-CoCo-SnowflakeSummit2026 - Summit notes and demos (NEW)
SNACKAI-CoCo-piups-breakout-garden - Raspberry Pi UPS breakout garden sensor monitoring
SNACKAI-CoCo-NanoSensorGarden - NVIDIA Nano sensor garden IoT
SNACKAI-CoCo-PremiumViews - Premium views and analytics
SLACKAI-CoCo-JetsonEdge - Edge AI on NVIDIA Jetson
SNACKAI-CoCo-SnowflakeSummit2026Agenda - Summit 2026 agenda explorer
SNACKAI-CoCo-CortexAITraining - Cortex AI training materials
SNACKAI-CoCo-AIGovernance - AI governance patterns
SNACKAI-CoCo-FindDataNearby - Location-aware data discovery
SNACKAI-CoCo-SpringSnowGhost - Spring ghost detection
SNACKAI-CoCo-AIQueries - AI query builder
SNACKAI-CoCo-PolyMarket - Prediction market analytics
SNACKAI-CoCo-VPSCalculator - VPS cost calculator

From the Community: Medium & Blogs

Real-Time CDC from Aurora PostgreSQL to Snowflake - OpenFlow CDC from Aurora
CoCo Control Hub: Cortex Code Spend Governance - Self-service spend governance on SiS
Securing OpenFlow Runtimes - Layered security for OpenFlow
Getting Started with Snowflake CLI - Migration guide from SnowSQL
From Legacy BI to an Intelligence Layer - Snowflake's own BI migration
Iceberg External Write Support Now GA - Iceberg writes deep dive
Open Lakehouse: Iceberg via Glue and Athena - AWS interoperability

GitHub: Snowflake Labs & Community

AI_COMPLETE_w_FineTunned_LLM - AI_COMPLETE with fine-tuned models
microsoft/agent-governance-toolkit - Microsoft agent governance toolkit
perplexityai/bumblebee - Perplexity AI's Bumblebee framework
AudioMass - Free audio editor in the browser
NeuralNote - AI-powered audio-to-MIDI transcription
nango - Open source unified API for integrations
glance - Self-hosted dashboard with feeds
MerMarkEditor - Markdown editor with Mermaid diagrams
SNACKAI-CoCo-SnowflakeSummit2026 - Summit notes and demos

LinkedIn Posts

Nick Akincilar: Security AI Data Share - AI-powered security data sharing
Nick Akincilar: Photon Reporting BI Share - Photon reporting and BI sharing

Developer Tools & Resources

Slumber - Terminal-based REST/HTTP client
Superset.sh - Apache Superset deployment tool

Video Content

Snowflake AI & Data Playlist - Complete Snowflake AI video series

SNACK-AI: The 2026 Pattern

As we look forward in 2026, SNACK-AI is the architectural pattern for powering AI applications at any scale - from mobile phones and robots to massive enterprise clusters.

SNACK-AI integrates:

Snowflake Platform
NiFi (Apache)
Apache Iceberg
Cortex AI (Agents/Search/MCP)
Kafka (Apache Kafka)

Deep Dive into SNACK-AI:

Read: SNACK-AI: The 2026 Pattern (Medium)
Code: Official SNACK-AI GitHub Repository
Weekly Context: SNACK-AI Overview

Thanks

https://sessionize.com/tspann

https://github.com/timothyspann

IT'S SUMMIT WEEK! Generated with Cortex Code for All Data and AI Weekly - June 1, 2026

All Data and AI Weekly #243-25 May 2026

Timothy Spann — Tue, 26 May 2026 16:21:29 +0000

All Data and AI Weekly #243-25 May 2026

( AI, Data, Agentic AI, Cortex Code, NiFi, Iceberg, Polaris, Streamlit, Python, Java, SQL, MCP, LLM, RAG, Cortex AI, AIFN, Search, Unstructured Data )

Tim's Corner: Summit Week Countdown - AI Function Studio, Iceberg Writes GA, and Batch Search

Welcome to issue 243! Snowflake Summit 2026 is ONE WEEK away - I'll be speaking on NiFi and Agents in San Francisco June 2. This week Snowflake shipped a wave of GA releases leading into Summit. Cortex AI Function Studio entered public preview - create, evaluate, and optimize production-ready AI Functions with automated prompt engineering and model selection. Iceberg table writes via external query engines went GA through Horizon Catalog - read AND write to Snowflake-managed Iceberg v2/v3 tables from Spark or any Iceberg REST engine. Batch Cortex Search went GA with the CORTEX_SEARCH_BATCH table function for millions of fuzzy-match queries in a single SQL statement. Storage lifecycle policies for dynamic tables went GA. dbt Projects on Snowflake got enhanced DAG visualization with column-level lineage. CREATE OR ALTER SEMANTIC VIEW entered preview for declarative semantic view management. The dynamic tables documentation got a full 30-page rewrite. dbt Fusion is now available on Snowflake. And MCP now connects GitHub Copilot in VS Code to Snowflake Cortex Agents. OpenFlow keeps expanding with SQL Server CDC, Amazon Kinesis streaming, and more. See you at Summit!

Snowflake Summit 2026 - Tim is Speaking!

I'll be speaking at Snowflake Summit 2026 on NiFi and Agents. The Summit is ONE WEEK away - register now! Check the session catalog:

New SNACK-AI Repositories

SNACKAI-CoCo-Kalshi - Kalshi prediction market analytics with Cortex Code (NEW)
SNACKAI-CoCo-piups-breakout-garden - Raspberry Pi UPS breakout garden sensor monitoring with SNACK-AI
SNACKAI-CoCo-NanoSensorGarden - NVIDIA Nano sensor garden IoT project with Cortex Code
SNACKAI-CoCo-PremiumViews - Premium views and analytics built with Cortex Code
SLACKAI-CoCo-JetsonEdge - Edge AI on NVIDIA Jetson with Cortex Code and SNACK-AI
SNACKAI-CoCo-SnowflakeSummit2026Agenda - Summit 2026 session agenda explorer built with Cortex Code
SNACKAI-CoCo-CortexAITraining - Cortex AI training materials and examples built with SNACK-AI
SNACKAI-CoCo-AIGovernance - AI governance patterns built with Cortex Code and SNACK-AI
SNACKAI-CoCo-FindDataNearby - Location-aware data discovery built with Cortex Code
SNACKAI-CoCo-SpringSnowGhost - Spring ghost detection with Cortex Code and SNACK-AI
SNACKAI-CoCo-AIQueries - AI query builder with Cortex Code
SNACKAI-CoCo-PolyMarket - Prediction market analytics with Cortex Code
SNACKAI-CoCo-VPSCalculator - VPS cost calculator with Cortex Code

Upcoming Events: Catch Tim Live!

May 26: Predictive Spatial Analytics: Turn Location Data into Actions - Virtual
May 27: From Raw to Reliable: Build AI-Powered Data Quality Pipelines with Cortex Code - Virtual Hands-On Lab
May 28: Build Your First Agentic ML Pipeline with Natural Language - Virtual Hands-On Lab
June 1-4: Snowflake Summit 2026 - San Francisco, CA - Tim speaking on NiFi and Agents
June 1: 2:30 pm https://reg.snowflake.com/flow/snowflake/summit26/sessions/page/catalog/session/1766080156205001FeHz
June 4: Conf42 Database DevOps - SQL Automation Operations - Virtual

Past Events (Catch the Replays):

Snowflake Dev Day (In-Person): https://www.snowflake.com/en/dev-day/in-person/

All Snowflake Events: https://www.snowflake.com/about/events/

Snowflake Summit 2026 - San Francisco, June 1-4

ONE WEEK TO GO! Snowflake Summit 2026 returns to San Francisco June 1-4 with Anthropic's Daniela Amodei keynoting, 500+ sessions, 200+ partners, and new AI-powered experiences.

Agentic Enterprise Announcement: Snowflake Expands Intelligence and Cortex Code

Register now: https://www.snowflake.com/summit/

Featured: Cortex AI Function Studio (Public Preview)

Cortex AI Function Studio is now in public preview. Create, evaluate, and optimize production-ready Cortex AI Functions for unstructured and multimodal data workflows. Automates prompt engineering, model selection, benchmarking, and optimization.

Release Notes: https://docs.snowflake.com/en/release-notes/2026/other/2026-05-20-cortex-ai-function-studio-public-preview

Documentation: https://docs.snowflake.com/en/user-guide/snowflake-cortex/ai-function-studio

Featured: Iceberg Table Writes via External Query Engines (GA)

Write support for Snowflake-managed Iceberg tables using external query engines through Horizon Catalog is now GA. Read AND write to Snowflake-managed Iceberg v2 and v3 tables from Apache Spark, Trino, or any engine supporting the open Iceberg REST protocol.

Iceberg Just-in-Time Refresh (Limited Access)

Just-in-Time Refresh for Iceberg tables ensures data freshness without manual scheduling.

Documentation: https://docs.snowflake.com/en/LIMITEDACCESS/iceberg/just-in-time-refresh

Featured: Batch Cortex Search (GA)

Batch Cortex Search is GA. The CORTEX_SEARCH_BATCH table function runs millions of fuzzy-match queries against a Cortex Search Service in a single SQL statement. Use for entity resolution, audience matching, deduplication, and clustering with dedicated serverless compute.

Cortex AI & Agents

CREATE OR ALTER SEMANTIC VIEW (Preview)

CREATE OR ALTER SEMANTIC VIEW provides declarative semantic view management that's safe to re-run without replacing the view and re-granting privileges.

Auto-Generated Data Agents

Create data agents automatically from your data assets.

Documentation: https://docs.snowflake.com/en/collaboration/auto-generated-data-agents

Agent-Friendly Documentation

Snowflake docs now support hierarchical llms.txt for AI agents and LLMs.

Release Notes: https://docs.snowflake.com/en/release-notes/2026/other/2026-04-15-agent-friendly-docs

llms.txt: https://docs.snowflake.com/llms.txt

MCP Connects GitHub Copilot in VS Code to Snowflake Cortex Agents

Use MCP to connect GitHub Copilot in VS Code directly to Snowflake Cortex Agents for AI-assisted data development.

Cortex MCP Copilot Studio Integration

Reference implementation for connecting Microsoft Copilot Studio to Snowflake via MCP.

GitHub: https://github.com/sfc-gh-mmarzillo/cortex-mcp-copilot-studio

Cortex Code Skills: Ontology Stack Builder

Official Cortex Code skill for building ontology stacks.

GitHub: https://github.com/Snowflake-Labs/cortex-code-skills/tree/main/skills/ontology-stack-builder

Streamlit Agent Skills

Streamlit Agent Skills - official framework for building agent skills with Streamlit.

GitHub: https://github.com/streamlit/agent-skills

AI Observability Playbook for Cortex Code

See every prompt, tool call, and dollar in your AI workflows with the AI Observability Playbook.

RAG Pipeline in Snowflake Using Cortex Search

Build a complete RAG pipeline in Snowflake using Cortex Search - no external tools needed.

CoCo Plus

CoCo Plus - extended capabilities and tools for Cortex Code.

Website: https://cocoplus.dev/

Snowflake Platform Updates

dbt Projects on Snowflake Updates (May 19)

Enhanced dbt DAG visualization with column-level lineage powered by Horizon Catalog. Select a column to highlight all upstream/downstream models using it.

dbt Fusion Available on Snowflake

dbt Fusion is now available on Snowflake - next-generation dbt experience.

Dynamic Tables Documentation Rewrite (May 21)

30 new and updated pages covering dynamic table building, optimizing, monitoring, and troubleshooting.

Storage Lifecycle Policies for Dynamic Tables (GA - May 21)

Attach storage lifecycle policies to dynamic tables to delete or archive rows on a schedule independent of refresh.

Postgres Mirroring (Limited Access)

Postgres Mirroring for real-time data replication from PostgreSQL to Snowflake.

Documentation: https://docs.snowflake.com/en/LIMITEDACCESS/postgres-mirroring

Postgres Mirror Interactive Demo

Interactive demo for Postgres mirroring to Snowflake.

GitHub: https://github.com/sfc-gh-bleboeuf/postgres-mirror-interactive-demo

Snowflake PATs: Role-Restricted Tokens and Audit Framework

Programmatic Access Tokens now support role-restricted tokens and a stale PAT audit framework.

CREATE TABLE Documentation

Updated CREATE TABLE SQL reference.

Documentation: https://docs.snowflake.com/en/sql-reference/sql/create-table.md

AWS Glue OAuth Snowflake Connectivity

AWS Glue now supports OAuth for Snowflake connectivity.

Dataiku Launches Cobuild for Snowflake

Dataiku launches Cobuild prompt-driven data science on Snowflake.

OpenFlow

OpenFlow in Action: SQL Server CDC + API Integration + dbt Cloud

End-to-end guide on Snowflake OpenFlow with SQL Server CDC, API integration, and transformations with dbt Cloud.

Resources:

Real-Time Streaming from Amazon Kinesis to Snowflake with OpenFlow

Stream data from Amazon Kinesis to Snowflake in real-time using OpenFlow.

Semantic Views & Intelligence

Power BI Won't Support Snowflake Semantic Views - Now What?

Community analysis of the Power BI and Snowflake Semantic Views situation and alternative approaches.

Empowering Data Products with AI in Snowflake

How to empower data products with AI using Snowflake's native capabilities.

Snowflake Intelligence Demo

Demo repository for Snowflake Intelligence capabilities.

GitHub: https://github.com/datamindedbe/demo-technology-exploration/tree/main/demos/snowflake_intelligence

From the Community: Medium & Blogs

You Don't Need a Ticket to Govern Data Anymore - Cortex Code data governance skills
DARE-Bench: LLM Data Science Workflows - Benchmarking LLMs for data science
Agentic AI in Financial Services: Nasdaq Evestment - Agentic AI for financial services with Nasdaq
Beyond Transcription: Multimodal Video and Audio Analysis - Multimodal AI_COMPLETE deep dive
RAG Pipeline in Snowflake Using Cortex Search - No external tools needed
AI Observability Playbook for Cortex Code - Seeing every prompt, tool call, and dollar
Power BI Won't Support Semantic Views - Now What? - Alternative approaches
Snowcap: Why Snowcap for dbt - Snowcap platform for dbt on Snowflake

GitHub: Snowflake Labs & Community

cortex-code-skills/ontology-stack-builder - Ontology stack builder skill for Cortex Code
streamlit/agent-skills - Agent skills framework for Streamlit
cortex-mcp-copilot-studio - MCP integration for Copilot Studio
postgres-mirror-interactive-demo - Postgres mirroring demo
snowflake_intelligence demo - Snowflake Intelligence demo
microsoft/agent-governance-toolkit - Microsoft's agent governance toolkit
microsoft/TRELLIS.2 - Microsoft TRELLIS 2 research framework
SNACKAI-CoCo-Kalshi - Kalshi prediction market with Cortex Code
whichllm - Compare and choose the right LLM for your task
Qwopus3.6-35B (HuggingFace) - Qwopus 3.6 35B model GGUF
files.md - Markdown-based file management
sleuth-io/sx - Sleuth developer experience tool
deskreen - Turn any device into a secondary screen
Compose-Examples - Docker Compose examples collection
omniparse - Parse any document into structured data
openbrief - Open source briefing and summary tool
trypost - API testing and development tool
ShadowCat - Security research tool
CloakBrowser - Privacy-focused browser

Video Content

Snowflake AI & Data Playlist - Complete Snowflake AI video series
Cortex AI Function Studio Demo - Function Studio walkthrough

Pexels API

Free stock photos and videos API for building visual applications.

Documentation: https://www.pexels.com/api/documentation/

SNACK-AI: The 2026 Pattern

As we look forward in 2026, SNACK-AI is the architectural pattern for powering AI applications at any scale - from mobile phones and robots to massive enterprise clusters.

SNACK-AI integrates:

Snowflake Platform
NiFi (Apache)
Apache Iceberg
Cortex AI (Agents/Search/MCP)
Kafka (Apache Kafka)

Deep Dive into SNACK-AI:

Read: SNACK-AI: The 2026 Pattern (Medium)
Code: Official SNACK-AI GitHub Repository
Weekly Context: SNACK-AI Overview

Thanks

https://sessionize.com/tspann

https://github.com/timothyspann

Generated with Cortex Code for All Data and AI Weekly - May 25, 2026

All Data and AI Weekly #242–18 May 2026

Timothy Spann — Sun, 17 May 2026 00:41:45 +0000

All Data and AI Weekly #242-18 May 2026

( AI, Data, Agentic AI, Cortex Code, NiFi, Iceberg, Polaris, Streamlit, Python, Java, SQL, MCP, LLM, RAG, Cortex AI, AISQL, Search, Unstructured Data )

Tim's Corner: Document AI Gets Smarter, Summit is Two Weeks Away

Welcome to issue 242! This week Snowflake shipped AI_CLASSIFY for documents in public preview - automatically categorize PDFs, DOCX, CSVs and more using simple SQL for intelligent document routing. Cortex Search Auto-Suspend entered preview to cut costs on idle services. Per-function AI privileges went GA giving admins fine-grained control over which roles can call specific AI functions. CHECK Constraints with Error Tables landed so you can stop cleaning up bad data after the fact. Microsoft Copilot Studio got a Snowflake Cortex integration via MCP. Perplexity AI added a native Snowflake connector. Snowpark Connect history UI entered limited access. And the community delivered guides on multitenant Cortex Agents, adding chat to any website, and Semantic View patterns as a Cortex Code skill. I published a new blog on Building Real-Time Multimodal AI Agents and a preview video for my Summit talk. Summit is TWO WEEKS away - register now! Let's dig in.

Tim's Content

Building Real-Time Multimodal AI Agents with Snowflake

Tim's new blog on building real-time multimodal AI agents using Snowflake's new video and audio preview capabilities.

Blog: Building Real-Time Multimodal AI Agents with Snowflake Preview

Summit Preview Video

Watch Tim's preview of his Snowflake Summit 2026 talk on NiFi and Agents.

Video: Summit Preview - NiFi and Agents

Snowflake Summit 2026 - Tim is Speaking!

I'll be speaking at Snowflake Summit 2026 on NiFi and Agents. The Summit is TWO WEEKS away - this is your chance to join 10,000+ data professionals in San Francisco for the biggest data and AI event of the year. Check the session catalog:

Multimodal AI is Out!

Tim's LinkedIn post on the multimodal AI launch: https://www.linkedin.com/feed/update/urn:li:activity:7457517682158993408/

New SNACK-AI Repositories

SNACKAI-CoCo-piups-breakout-garden - Raspberry Pi UPS breakout garden sensor monitoring with SNACK-AI
SNACKAI-CoCo-NanoSensorGarden - NVIDIA Nano sensor garden IoT project with Cortex Code
SNACKAI-CoCo-PremiumViews - Premium views and analytics built with Cortex Code
SLACKAI-CoCo-JetsonEdge - Edge AI on NVIDIA Jetson with Cortex Code and SNACK-AI
SNACKAI-CoCo-SnowflakeSummit2026Agenda - Summit 2026 session agenda explorer built with Cortex Code
SNACKAI-CoCo-CortexAITraining - Cortex AI training materials and examples built with SNACK-AI
SNACKAI-CoCo-AIGovernance - AI governance patterns built with Cortex Code and SNACK-AI
SNACKAI-CoCo-FindDataNearby - Location-aware data discovery built with Cortex Code
SNACKAI-CoCo-SpringSnowGhost - Spring ghost detection with Cortex Code and SNACK-AI
SNACKAI-CoCo-AIQueries - AI query builder with Cortex Code
SNACKAI-CoCo-PolyMarket - Prediction market analytics with Cortex Code
SNACKAI-CoCo-VPSCalculator - VPS cost calculator with Cortex Code

Upcoming Events: Catch Tim Live!

May 19: Build a Multi-Engine Stack on Snowflake Storage for Iceberg and Horizon Catalog - Virtual Hands-On Lab
May 20: Budapest Data and AI - Budapest, Hungary - Tim Virtual speaking
May 21: Data for Breakfast Encore - Virtual
May 26: Predictive Spatial Analytics: Turn Location Data into Actions - Virtual
May 27: From Raw to Reliable: Build AI-Powered Data Quality Pipelines with Cortex Code - Virtual Hands-On Lab
May 28: Build Your First Agentic ML Pipeline with Natural Language - Virtual Hands-On Lab
June 2-5: Snowflake Summit 2026 - San Francisco, CA - Join me, I will be speaking on NiFi and Agents.
June 4: Conf42 Database DevOps - SQL Automation Operations - Virtual

Past Events (Catch the Replays):

Snowflake Dev Day (In-Person): https://www.snowflake.com/en/dev-day/in-person/

All Snowflake Events: https://www.snowflake.com/about/events/

Snowflake Summit 2026 - San Francisco, June 2-5

The biggest event of the year is TWO WEEKS away! Snowflake Summit 2026 returns to San Francisco June 2-5. Anthropic's Daniela Amodei joins the keynote, 500+ sessions, 200+ partners.

Agentic Enterprise Announcement: Snowflake Expands Intelligence and Cortex Code

Register now: https://www.snowflake.com/summit/

Featured: AI_CLASSIFY for Document Classification (Public Preview)

The AI_CLASSIFY function now accepts documents as input, enabling automatic categorization of PDFs, DOCX, CSV and more using simple SQL. Streamline document intake and intelligently route content - contracts, invoices, reports - into the right downstream workflows.

Release Notes: https://docs.snowflake.com/en/release-notes/2026/other/2026-05-13-ai-classify-document

Documentation: https://docs.snowflake.com/en/sql-reference/functions/ai_classify

Featured: CHECK Constraints with Error Tables

Snowflake CHECK Constraints with Error Tables let you stop cleaning up bad data after the fact. Define data quality rules at the table level and capture constraint violations in error tables for investigation rather than rejecting entire loads.

Cortex AI & Agents

Per-Function AI Privileges (GA - May 13)

Grant per-function privileges for Cortex AI Functions using USE AI FUNCTION <name>. Fine-grained control over which roles can call specific AI functions instead of blanket access.

Release Notes: https://docs.snowflake.com/en/release-notes/2026/other/2026-05-13-use-ai-function-per-function-privileges

Documentation: https://docs.snowflake.com/en/user-guide/snowflake-cortex/aisql#use-ai-function-name-per-function-privileges

Cortex Search Auto-Suspend (Preview - May 11)

Configure a Cortex Search Service to auto-suspend its serving compute after query inactivity and resume on new queries. Reduces serving costs on idle services. Minimum: 1800 seconds (30 min).

Integrating Microsoft Copilot Studio with Snowflake Cortex via MCP

Connect Microsoft Copilot Studio agents to Snowflake Cortex using MCP (Model Context Protocol) for enterprise AI agent interoperability.

Don't Trust the LLM with Tenant Isolation: Multitenant Cortex Agents

How to build multitenant Cortex Agents on Snowflake with proper tenant isolation - ensuring LLMs can't cross data boundaries.

Add a "Talk to Your Data" Chat to Any Website

Add a Snowflake Cortex-powered chat interface to any website for natural language data exploration.

Perplexity AI Snowflake Connector

Perplexity AI adds a native Snowflake app connector for AI-powered search and analysis directly on your Snowflake data.

Connector: https://www.perplexity.ai/hub/products/app-connectors/snowflake

Cortex Code Semantic View Patterns Skill

Official Snowflake Solutions skill for semantic view patterns in Cortex Code CLI.

GitHub: https://github.com/Snowflake-Solutions/cortex-code-skills/tree/main/skills/semantic-view-patterns

Snowflake Platform Updates

Sensitive Data Entitlement Report (Preview - May 13)

Generate a Sensitive Data Entitlement report to view who can access sensitive data in your account. Creates a view listing users with access control roles and privileges on tables containing sensitive data.

Organization Usage: Secrets and Tri-Secret Secure Views (May 12)

New ORGANIZATION_USAGE premium views for visibility into secrets and Tri-Secret Secure customer-managed key history across all accounts.

Snowpark Connect History UI (Limited Access)

Snowpark Connect gets a history UI in Snowsight for monitoring Spark job execution history.

Documentation: https://docs.snowflake.com/en/LIMITEDACCESS/snowpark-connect/snowpark-connect-history-ui

Snowpipe Streaming High Performance Getting Started

Updated guide for getting started with Snowpipe Streaming high-performance ingestion.

Documentation: https://docs.snowflake.com/en/user-guide/snowpipe-streaming/snowpipe-streaming-high-performance-getting-started

pg_lake (Snowflake Labs)

pg_lake - Snowflake Labs' tool for syncing PostgreSQL data to Snowflake via Iceberg tables.

GitHub: https://github.com/Snowflake-Labs/pg_lake

From the Community: Medium & Blogs

Building Real-Time Multimodal AI Agents with Snowflake - Tim Spann on multimodal AI agent patterns with Snowflake's new video/audio preview
Integrating Microsoft Copilot Studio with Snowflake Cortex via MCP - Connect Copilot Studio agents to Snowflake via Model Context Protocol
Don't Trust the LLM with Tenant Isolation - Building multitenant Cortex Agents with proper data boundaries
Add a "Talk to Your Data" Chat to Any Website - Embed Cortex-powered chat for natural language data exploration
Snowflake Just Killed Its Own Notebooks - Community perspective on Snowflake's notebook evolution

GitHub: Snowflake Labs & Community

pg_lake - Sync PostgreSQL to Snowflake via Iceberg
cortex-code-skills/semantic-view-patterns - Semantic View patterns skill for Cortex Code
hunk - Modern data development toolkit
RuView - AI-powered code review and analysis
Velonus - Performance monitoring and analytics
agentmemory - Memory management for AI agents
inspect_ai - UK Government AI inspection and evaluation framework

Developer Tools & Resources

Ratty Term - Terminal emulator and tools
Tailscale Pricing - Zero-config VPN mesh networking for teams

SNACK-AI: The 2026 Pattern

As we look forward in 2026, SNACK-AI is the architectural pattern for powering AI applications at any scale - from mobile phones and robots to massive enterprise clusters.

SNACK-AI integrates:

Snowflake Platform
NiFi (Apache)
Apache Iceberg
Cortex AI (Agents/Search/MCP)
Kafka (Apache Kafka)

Deep Dive into SNACK-AI:

Read: SNACK-AI: The 2026 Pattern (Medium)
Code: Official SNACK-AI GitHub Repository
Weekly Context: SNACK-AI Overview

Thanks

https://sessionize.com/tspann
https://github.com/timothyspann

Generated with Cortex Code for All Data and AI Weekly - May 18, 2026

All Data and AI Weekly #241-11 May 2026

Timothy Spann — Mon, 11 May 2026 14:27:51 +0000

( AI, Data, Agentic AI, Cortex Code, NiFi, Iceberg, Polaris, Streamlit, Python, Java, SQL, MCP, LLM, RAG, Cortex AI, AISQL, Search, Unstructured Data )

Tim's Corner: Happy Mother's Day - Multimodal AI, Iceberg v3, and Summit Countdown

Happy Mother's Day to all the amazing moms out there! This week Snowflake dropped one of the most significant AI releases yet: Multimodal Video and Audio Analysis entered public preview - analyze video (MP4, MPEG, MOV, AVI) and audio (WAV, MP3) content directly in Snowflake with AI_COMPLETE using Gemini 3.1 Pro and Claude 4 Opus. Extract brand sentiment, product discovery, and behavioral insights from rich media without moving data. Apache Iceberg v3 went GA with geography, geometry, nanosecond timestamps, variant types, default values, and deletion vectors. SPCS Autoscaling Policies went GA with metric-based rules for automatic scaling. Four new SPCS instance families (GEN_X64_G2, MEM_X64_G2, GPU_NV_L4_G2, GPU_NV_H100) hit GA. SAP BDC Zerocopy Connector went GA for zero-copy data sharing between SAP and Snowflake. Semantic View entity-level filters went GA. The engineering team published deep dives on Apache Polaris 1.4 (advanced multi-tenancy) and Distributed Query Execution Anchors (strengthening the query lifecycle). Plus Cortex Code got a Claude plugin, Snowflake Intelligence launched on iOS, and the ACCUMULATE function dropped.

Summit is THREE WEEKS away - I'll be speaking on NiFi and Agents. Let's dig in!

Tim's Content

Snowflake Summit 2026 - Tim is Speaking!

I'll be speaking at Snowflake Summit 2026 on NiFi and Agents. The Summit is THREE WEEKS away - this is your chance to join 10,000+ data professionals in San Francisco for the biggest data and AI event of the year. Check the session catalog:

Multimodal AI is Out!

Tim's LinkedIn post on the multimodal AI launch: https://www.linkedin.com/feed/update/urn:li:activity:7457517682158993408/

New SNACK-AI Repositories

Repository	Description
SNACKAI-CoCo-piups-breakout-garden	Raspberry Pi UPS breakout garden sensor monitoring with SNACK-AI
SNACKAI-CoCo-NanoSensorGarden	NVIDIA Nano sensor garden IoT project with Cortex Code
SNACKAI-CoCo-PremiumViews	Premium views and analytics built with Cortex Code
SLACKAI-CoCo-JetsonEdge	Edge AI on NVIDIA Jetson with Cortex Code and SNACK-AI
SNACKAI-CoCo-SnowflakeSummit2026Agenda	Summit 2026 session agenda explorer built with Cortex Code
SNACKAI-CoCo-CortexAITraining	Cortex AI training materials and examples built with SNACK-AI
SNACKAI-CoCo-AIGovernance	AI governance patterns built with Cortex Code and SNACK-AI
SNACKAI-CoCo-FindDataNearby	Location-aware data discovery built with Cortex Code
SNACKAI-CoCo-SpringSnowGhost	Spring ghost detection with Cortex Code and SNACK-AI
SNACKAI-CoCo-AIQueries	AI query builder with Cortex Code
SNACKAI-CoCo-PolyMarket	Prediction market analytics with Cortex Code
SNACKAI-CoCo-VPSCalculator	VPS cost calculator with Cortex Code

Upcoming Events: Catch Tim Live!

May 13: Snowflake NoCode Live (SNL) - Virtual Hands-On Lab
May 14: From Raw Data to a Conversational AI Agent with Snowflake in 90 Minutes - Virtual
May 20: Budapest Data and AI - Budapest, Hungary - Tim Virtual speaking
May 21: Data for Breakfast Encore - Virtual
May 26: Predictive Spatial Analytics: Turn Location Data into Actions - Virtual
May 27: From Raw to Reliable: Build AI-Powered Data Quality Pipelines with Cortex Code - Virtual Hands-On Lab
May 28: Build Your First Agentic ML Pipeline with Natural Language - Virtual Hands-On Lab
June 2-5: Snowflake Summit 2026 - San Francisco, CA - Join me, I will be speaking on NiFi and Agents.
June 4: Conf42 Database DevOps - SQL Automation Operations - Virtual

Snowflake Dev Day (In-Person): https://www.snowflake.com/en/dev-day/in-person/

All Snowflake Events: https://www.snowflake.com/about/events/

Snowflake Summit 2026 - San Francisco, June 2-5

The biggest event of the year is almost here! Snowflake Summit 2026 returns to San Francisco June 2-5. Snowflake announced that Anthropic's Co-Founder and President Daniela Amodei will join the keynote, along with 500+ sessions, 200+ on-site partners, and new AI-powered experiences.

Press Release: Snowflake Makes AI Real at Summit 26

Agentic Enterprise Announcement: Snowflake Expands Intelligence and Cortex Code

Register now: https://www.snowflake.com/summit/

Cortex Code CLI Developer Trial: https://signup.snowflake.com/

Featured: Multimodal Video and Audio Analysis (Public Preview)

Snowflake Cortex AI_COMPLETE now enables advanced multimodal analysis of video and audio content in public preview. Extract brand, sentiment, and behavioral insights from rich media directly in Snowflake without moving data outside the platform.

Supported models:

claude-4-opus - for GIF analysis
gemini-3.1-pro - for MP4, MPEG, MOV, AVI, MPG, FLV, WAV, MP3

Key use cases:

Brand sentiment analysis from video content
Product and trend discovery from visual media
Audio-based sentiment analytics
Video metadata extraction

Resources:

Featured: Apache Iceberg v3 (General Availability)

Apache Iceberg v3 is now Generally Available on Snowflake! This brings advanced table format capabilities including:

New data types: geography, geometry, nanosecond timestamp, variant
Default values: Define default values for columns in Iceberg tables
Deletion vectors: Efficient row-level deletes without rewriting data files

Featured: Distributed Query Execution Anchors

Snowflake's engineering team published a deep dive on Execution Anchors - strengthening Snowflake's distributed query lifecycle. This covers how Snowflake's architecture handles query execution across distributed nodes with reliability and performance guarantees.

Cortex AI & Agents

Cortex Code Plugin for Claude

Cortex Code is now available as a plugin for Claude (claude.com), bringing Snowflake's data-aware AI coding capabilities directly into Anthropic's assistant.

Plugin: https://claude.com/plugins/snowflake-cortex-code

Cortex Agents Monitoring

Documentation for monitoring Cortex Agents with access control and permissions for observability.

Documentation: https://docs.snowflake.com/en/user-guide/snowflake-cortex/cortex-agents-monitor#access-control-and-permissions

AI_PARSE_DOCUMENT OCR Quality Improvements (May 4)

AI_PARSE_DOCUMENT OCR mode gets significant quality improvements: up to 25% improvement in character and word recognition accuracy with faster processing for enterprise-scale document workflows.

AI_EXTRACT Extraction Scores (Preview)

AI_EXTRACT now provides extraction scores in preview - confidence scores for each extracted field to help assess extraction quality.

Documentation: https://docs.snowflake.com/en/sql-reference/functions/ai_extract#extraction-scores-preview

AI_PARSE_DOCUMENT Documentation

Updated comprehensive documentation for the AI_PARSE_DOCUMENT function.

Documentation: https://docs.snowflake.com/en/user-guide/snowflake-cortex/parse-document

Snowflake Intelligence Mobile App (iOS)

Snowflake Intelligence is now available on the iOS mobile app - take your personal work agent on the go.

Documentation: https://docs.snowflake.com/en/user-guide/snowflake-cortex/snowflake-intelligence#snowflake-intelligence-mobile-app-ios

Cortex Code Data Platforms

Documentation for connecting Cortex Code to external data platforms beyond Snowflake.

Documentation: https://docs.snowflake.com/en/user-guide/cortex-code/data-platforms

Learn CoCo with Rajiv: Cost Optimization Custom Skill

Build a Cortex Code cost optimization custom skill - step-by-step guide to creating skills that help manage Snowflake costs.

Anthropic AI Fluency Framework Foundations

Anthropic's AI Fluency Framework - foundational course for understanding AI capabilities and limitations.

Course: https://anthropic.skilljar.com/ai-fluency-framework-foundations

Snowflake Platform Updates

SPCS Autoscaling Policies (GA - May 4)

Snowpark Container Services autoscaling policies are now GA. Define metric-based rules that control how Snowflake scales service instances up, down, or suspends them automatically. Supports both platform metrics and custom metrics.

Documentation: https://docs.snowflake.com/en/developer-guide/snowpark-container-services/scaling-services

Four New SPCS Instance Families (GA - May 5)

Four new Snowpark Container Services instance families are GA:

GEN_X64_G2 (AWS, Azure) - Second-gen general-purpose compute
MEM_X64_G2 (AWS, Azure) - Second-gen high-memory compute
GPU_NV_L4_G2 - NVIDIA L4 GPU instances
GPU_NV_H100 - NVIDIA H100 GPU instances

SAP BDC Zerocopy Connector (GA - May 4)

The SAP BDC Zerocopy Connector is GA - zero-copy data sharing between SAP Business Data Cloud and Snowflake without moving or duplicating data. Two integration paths: SAP-provisioned Snowflake or existing Snowflake accounts.

ACCUMULATE Function

New ACCUMULATE SQL function for running computations across ordered rows.

Documentation: https://docs.snowflake.com/en/sql-reference/functions/accumulate

Organization Usage: New Network Views (May 5)

Three new ORGANIZATION_USAGE premium views for network security visibility: NETWORK_POLICIES, NETWORK_RULES, and network configuration across all accounts.

Case-Insensitive DDL (Apr 30)

Support for case-insensitive DDL operations, simplifying SQL authoring.

Data Clean Rooms Updates (May 7)

Latest Data Clean Rooms updates.

Behavior Change Releases

Apache Iceberg & Polaris

Apache Iceberg v3 (GA - May 7)

Iceberg v3 is GA with geography, geometry, nanosecond timestamps, variant types, default values, and deletion vectors.

Apache Polaris 1.4 Release

Apache Polaris 1.4 brings advanced multi-tenancy, security improvements, and streamlined deployment. Strengthening the open source Iceberg REST Catalog standard.

Semantic Views & Intelligence

Semantic View Entity-Level Filters (GA - May 5)

Define facts or dimensions as filters in semantic views by specifying LABELS = (FILTER). Filters resolve to BOOLEAN values and can be used as conditions in WHERE clauses, enabling more expressive and governed semantic models.

Release Notes: https://docs.snowflake.com/en/release-notes/2026/other/2026-05-05-semantic-views-entity-filters

Documentation: https://docs.snowflake.com/en/user-guide/views-semantic/filters

Snowflake Postgres

Postgres pg_lake Integration

Documentation for pg_lake integration with Snowflake Postgres - sync data from PostgreSQL to Snowflake using Iceberg.

Documentation: https://docs.snowflake.com/en/user-guide/snowflake-postgres/postgres-pg_lake

From the Community: Medium & Blogs

Article	Description
Managing Data Products Lifecycle on Snowflake	End-to-end data product lifecycle management patterns
Demystifying Oracle XStream: CDC Impact on OLTP Systems	Quantifying CDC impact on high-throughput Oracle OLTP systems
Learn CoCo with Rajiv: Cost Optimization Skill	Building a Cortex Code cost optimization custom skill

GitHub: Snowflake Labs & Community

Repository	Description
SNACKAI-CoCo-piups-breakout-garden	Pi UPS breakout garden sensor monitoring
SNACKAI-CoCo-NanoSensorGarden	NVIDIA Nano sensor garden IoT
wtf	WTF - personal terminal dashboard
growthcues-core	Growth analytics and cue detection engine
leaf	Lightweight application framework
Scrapling	Intelligent web scraping library
airbyte-agents-benchmarks	Airbyte agent benchmarking suite
tilderun	Tilderun project collection
ph-intercept	Product Hunt intercept tool
rustnet	Network utilities written in Rust

Developer Tools & Open Source

Tool	Description
Phone Sensors Web App	Access phone sensors from the browser
HF Viewer	Hugging Face model and dataset viewer
DS100 Spring 2026	UC Berkeley Data Science 100 course materials
VentureX Lawrenceville	Coworking and innovation space in NJ

Engineering Deep Dives

Distributed Query Execution Anchors

Snowflake engineering blog on Execution Anchors - how Snowflake strengthens distributed query lifecycle management for reliability and performance at scale.

Apache Polaris 1.4: Advanced Multi-Tenancy

What's new in Apache Polaris 1.4: advanced multi-tenancy support, security improvements, and streamlined deployment for the open source Iceberg catalog.

Read more: Apache Polaris 1.4 Release

SNACK-AI: The 2026 Pattern

As we look forward in 2026, SNACK-AI is the architectural pattern for powering AI applications at any scale - from mobile phones and robots to massive enterprise clusters.

SNACK-AI integrates:

Snowflake Platform
NiFi (Apache)
Apache Iceberg
Cortex AI (Agents/Search/MCP)
Kafka (Apache Kafka)

Deep Dive into SNACK-AI:

Read: SNACK-AI: The 2026 Pattern (Medium)
Code: Official SNACK-AI GitHub Repository
Weekly Context: SNACK-AI Overview

Thanks

https://sessionize.com/tspann

https://github.com/timothyspann

Happy Mother's Day! Generated with Cortex Code for All Data and AI Weekly - May 11, 2026

All Data and AI Weekly #240-04 May 2026

Timothy Spann — Sun, 03 May 2026 20:16:08 +0000

( AI, Data, Agentic AI, Cortex Code, NiFi, Iceberg, Polaris, Streamlit, Python, Java, SQL, MCP, LLM, RAG, Cortex AI, AISQL, Search, Unstructured Data )

Tim's Corner: May the Fourth Be With You

Welcome to issue 240 - and May the Fourth Be With You! Like the Rebel Alliance, we're building an open, interconnected data galaxy where information flows freely across systems.

This week the Force is strong with Snowflake: AI_PARSE_DOCUMENT leveled up with GA image extraction and 2,000-page support (that's a lot of Jedi archives),

Interactive Tables with CDC and streaming ingestion entered limited access (real-time data at lightspeed),

Data Security in Trust Center went GA (protecting the galaxy from the dark side of data breaches), and

SCIM authentication expanded with PATs and External OAuth.

The engineering team published a stellar blog on mining query history to build better semantic models for AI - turning your query logs into a knowledge base that makes AI assistants actually useful. On the community front, Prompt Forge landed for multi-model evaluation,

the Cortex Code Agent SDK got a managed services application showcase, and IBM released Granite 4.1 on Ollama.

I'm counting down to Snowflake Summit 2026 in San Francisco June 2-5 where I'll be speaking on NiFi and Agents. The countdown to Summit has begun - don't let this be a trap, register now! Let's dig in.

Tim's Content

Snowflake Summit 2026 - Tim is Speaking!

I'll be speaking at Snowflake Summit 2026 on NiFi and Agents. The Summit is less than a month away - this is your chance to join 10,000+ data professionals in San Francisco for the biggest data and AI event of the year. Check the session catalog:

New SNACK-AI Repositories

Repository	Description
SNACKAI-CoCo-PremiumViews	Premium views and analytics built with Cortex Code
SLACKAI-CoCo-JetsonEdge	Edge AI on NVIDIA Jetson with Cortex Code and SNACK-AI
SNACKAI-CoCo-SnowflakeSummit2026Agenda	Summit 2026 session agenda explorer built with Cortex Code
SNACKAI-CoCo-CortexAITraining	Cortex AI training materials and examples built with SNACK-AI
SNACKAI-CoCo-AIGovernance	AI governance patterns built with Cortex Code and SNACK-AI
SNACKAI-CoCo-FindDataNearby	Location-aware data discovery built with Cortex Code
SNACKAI-CoCo-SpringSnowGhost	Spring ghost detection with Cortex Code and SNACK-AI
SNACKAI-CoCo-AIQueries	AI query builder with Cortex Code
SNACKAI-CoCo-PolyMarket	Prediction market analytics with Cortex Code
SNACKAI-CoCo-VPSCalculator	VPS cost calculator with Cortex Code

Upcoming Events: Catch Tim Live!

May 6: Philly Hands-On Lab: Automate Data Workflows with Cortex Code and Evolv - Philadelphia, PA
May 13: Snowflake NoCode Live (SNL) - Virtual Hands-On Lab
May 14: From Raw Data to a Conversational AI Agent with Snowflake in 90 Minutes - Virtual
May 20: Budapest Data and AI - Budapest, Hungary - Tim Virtual speaking
May 21: Data for Breakfast Encore - Virtual
May 27: From Raw to Reliable: Build AI-Powered Data Quality Pipelines with Cortex Code - Virtual Hands-On Lab
May 28: Build Your First Agentic ML Pipeline with Natural Language - Virtual Hands-On Lab
June 2-5: Snowflake Summit 2026 - San Francisco, CA - Join me, I will be speaking on NiFi and Agents.

Snowflake Dev Day (In-Person): https://www.snowflake.com/en/dev-day/in-person/

All Snowflake Events: https://www.snowflake.com/about/events/

Past Events (Catch the Replays):

Snowflake Summit 2026 - San Francisco, June 2-5

Press Release: Snowflake Makes AI Real at Summit 26

Agentic Enterprise Announcement: Snowflake Expands Intelligence and Cortex Code

Register now: https://www.snowflake.com/summit/

Cortex Code CLI Developer Trial: https://signup.snowflake.com/

Featured: Mining Query History to Build Better Semantic Models for AI

Giving an AI analyst raw database schemas and sample queries works great for demos but falls apart in production. Snowflake's engineering team published a deep dive on mining query history to build better semantic models - turning your existing query logs into a governed knowledge base that makes AI data assistants actually useful. The approach automatically extracts join patterns, filter logic, calculated metrics, and business terminology from how your team actually queries data.

Featured: Interactive Tables - Real-Time Data at Lightspeed

Two new Limited Access features bring real-time interactive workloads to Snowflake:

Interactive CDC (Change Data Capture)

Use change data capture with interactive tables for real-time updates with much less ingestion cost compared to standard MERGE INTO patterns. Ideal for lower-volume, mutable data streams.

Documentation: https://docs.snowflake.com/en/LIMITEDACCESS/interactive-cdc

Interactive Streaming Ingestion

Stream data into interactive tables for real-time analytics. For mutable, deduplicated data (inserts, updates, deletes from source systems), combine with CDC for a complete real-time pipeline.

Documentation: https://docs.snowflake.com/en/LIMITEDACCESS/interactive-streaming

Cortex AI & Agents

AI_PARSE_DOCUMENT Image Extraction (GA - Apr 30)

AI_PARSE_DOCUMENT image extraction using LAYOUT mode is now GA. Extract images alongside text and layout to build multimodal document processing workflows. Unlock visual data from documents for richer AI applications.

AI_PARSE_DOCUMENT 2,000 Page Support (Apr 30)

AI_PARSE_DOCUMENT now processes documents up to 2,000 pages in both LAYOUT and OCR modes. Handle large healthcare records, insurance claims, regulatory filings, and technical manuals in a single request.

Cortex Code: One Governed Agent for Your Entire Data Stack

Cortex Code expands into a governed agent across your entire data stack - warehouse, transformation, and orchestration. Available as Desktop, CLI, and in Snowsight.

Prompt Forge: Multi-Model Prompt Evaluation with Snowflake Cortex

Prompt Forge enables multi-model prompt evaluation directly in Snowflake Cortex - test prompts across different models, compare outputs, and optimize for quality and cost.

Resources:

Agentic Managed Services with Cortex Code Agent SDK

Build agentic managed services applications using the Cortex Code Agent SDK - demonstrates how to rebuild managed services workflows with AI agents.

Resources:

Awesome Pipeline Auditor with Cortex Agents SDK

A comprehensive pipeline auditor built with the Cortex Agents SDK for monitoring and validating data pipeline health.

GitHub: https://github.com/iamontheinet/awesome-pipeline-auditor-with-cortex-agents-sdk

Snowflake AI Kit: Cortex Code Plugin for Claude Code

Snowflake AI Kit now includes a Cortex Code plugin for Claude Code, bridging Snowflake's data context into Anthropic's coding assistant.

GitHub: https://github.com/Snowflake-Labs/snowflake-ai-kit#cortex-code-plugin-for-claude-code

TruLens 2.8.0 Released

TruLens 2.8.0 - the open source framework for evaluating, tracking, and optimizing AI (powers Snowflake's Agent GPA framework).

Release: https://github.com/truera/trulens/releases/tag/trulens-2.8.0

Cortex Code CLI & Agent SDK

Snowflake Platform Updates

Data Security in Trust Center (GA - Apr 24)

Data Security in the Trust Center is now GA. Automatic sensitive data classification across databases identifies PII, PCI, and regulated data categories - protecting the galaxy from the dark side of data breaches.

SCIM Authentication: PATs and External OAuth (GA - May 1)

New authentication methods for SCIM requests are GA. Authenticate with Programmatic Access Tokens (PATs) and External OAuth tokens in addition to existing SCIM access tokens.

Outbound PrivateLink Endpoints Organization Usage View (May 1)

New OUTBOUND_PRIVATELINK_ENDPOINTS view in ORGANIZATION_USAGE schema for monitoring outbound private connectivity endpoints across all accounts in your organization.

Tags & Policies in Snowsight (Preview - Apr 30)

Create tags directly in Snowsight and view expanded tagging coverage across supported object types in the Tags & Policies Dashboard.

Data Clean Rooms Updates (Apr 30)

Data Clean Rooms API Version 14.7 with creation timestamps for registry objects and Data Clean Rooms UI improvements.

Datometry for Snowflake: Accelerate Teradata Migration

Datometry for Snowflake removes the difficult tradeoff for enterprises on Teradata - no more choosing between expensive renewals or high-risk multi-year rewrites. Accelerate your exit to the AI Data Cloud.

Read more: Announcing Datometry for Snowflake

Snowpark Connect for Apache Spark

Snowpark Connect for Apache Spark enables Spark workloads to run directly on Snowflake compute, eliminating data movement.

Product Page: https://www.snowflake.com/en/product/features/snowpark-connect-apache-spark/

Booking.com Customer Story

See how Booking.com leverages Snowflake for data and AI at scale.

Video: https://www.snowflake.com/en/customers/all-customers/video/booking-com/?clear-cache=59tbik

OpenFlow

OpenFlow Connector for Confluence Data Center

Openflow Connector for Confluence Data Center ingests wiki and knowledge base content into Snowflake for search and analytics.

Documentation: https://docs.snowflake.com/en/LIMITEDACCESS/openflow/connectors/confluence-data-center/about

EvanFlow

Community-built OpenFlow connector patterns and utilities.

GitHub: https://github.com/evanklem/evanflow

Dynamic Tables & dbt

Migrating a dbt Core Project to Snowflake

Guide on migrating a dbt Core project to Snowflake - from setup through deployment patterns.

Dynamic Tables + dbt: A Powerful Combination

How Dynamic Tables and dbt work together for a powerful data transformation pipeline.

AI Models & Research

IBM Granite 4.1

IBM Granite 4.1 is now available on Ollama - an open, enterprise-focused model family with strong tool-use and reasoning capabilities.

Resources:

Moondream v2

Moondream v2 - a lightweight vision-language model for edge and embedded use cases, available on Ollama.

Ollama: https://ollama.com/library/moondream:v2

Frontier Model Lower Costs

Analysis of how frontier model costs continue to decline, making AI more accessible.

Microsoft Agent Framework

Microsoft's Agent Framework - an open source framework for building, managing, and orchestrating AI agents.

GitHub: https://github.com/microsoft/agent-framework

Generative AI for Science

Research repository on applying Generative AI to scientific research and discovery.

GitHub: https://github.com/jpliu168/Generative_AI_For_Science/

From the Community: Medium & Blogs

Article	Description
Snowflake Intelligence: The Fifth Person	How Snowflake Intelligence solves the business user data access problem
Production-Grade AI Agent Inside Snowflake	Every line of building a production AI agent in Snowflake
Enterprise-Grade skill.md for Cortex Code (Part 3)	Scaling and polishing enterprise skill definitions
Enterprise-Grade skill.md for Cortex Code (Part 2)	Building the workflow for enterprise skills
Enterprise-Grade skill.md for Cortex Code (Part 1)	Foundation patterns for production skill definitions
Prompt Forge: Multi-Model Evaluation	Test prompts across models with Snowflake Cortex
The End of the Billable Hour: Cortex Code Agent SDK	Rebuilding managed services with AI agents
Dynamic Tables + dbt: A Powerful Combination	How Dynamic Tables and dbt work together
Snowflake Trust Center Detections	Real-time threat monitoring with Trust Center
Snowflake Database Roles Demystified	Understanding who sees what and why it matters
From All-or-Nothing to Graceful Degradation: DML Error Logging	Graceful degradation patterns for DML error handling
Hybrid Data Mesh with Snowflake and Databricks	Building a hybrid data mesh across platforms

GitHub: Snowflake Labs & Community

Repository	Description
snowflake-ai-kit	Snowflake AI Kit with Cortex Code plugin for Claude Code
prompt_forge	Multi-model prompt evaluation with Snowflake Cortex
Agentic-Managed-Services	Managed services application with Cortex Code Agent SDK
awesome-pipeline-auditor	Pipeline auditor with Cortex Agents SDK
Snow-Insurance-Demo	Snowflake insurance industry demo application
VibeCodingExamples	Snowflake vs Databricks Spark TPC-H SF100 ETL comparison
trulens v2.8.0	TruLens 2.8.0 - AI evaluation framework powering Agent GPA
evanflow	Community OpenFlow connector patterns
SNACKAI-CoCo-PremiumViews	Premium views with Cortex Code
SLACKAI-CoCo-JetsonEdge	Edge AI on NVIDIA Jetson

Developer Tools & Open Source

Tool	Description
datacenter.fm	Interactive map and data on global data center infrastructure
datacenter.fm (GitHub)	Open source data center mapping project
cua	Computer-use agent framework for automating desktop tasks
ministack	Minimal infrastructure stack for local development
named-pipes	Named pipes utilities for inter-process communication
open-pdf-studio	Open source PDF editing and processing studio
winpodx	Windows container pod management
utilyze	System utilization monitoring and analytics
Systalyze Utilyze	Cloud resource utilization platform
powermonitor	Power consumption monitoring tool
maxheadbox	Max Headroom-inspired digital art project
l123	Lightweight data processing utility
Meshtastic Apple	Meshtastic mesh networking app for Apple devices
warmburnout.com	Platform comparison and burnout prevention resources
Doom in ChatGPT and Claude	Running Doom inside AI chat interfaces
Terminal GPU Battery (Ghostty/iTerm2)	GPU and battery optimization for Mac terminal emulators

Video Content

Video	Description
Cortex Code Agent SDK Demo	Demo of Cortex Code Agent SDK capabilities
Snowflake AI & ML Playlist	Snowflake AI and ML video series

SNACK-AI: The 2026 Pattern

As we look forward in 2026, SNACK-AI is the architectural pattern for powering AI applications at any scale - from mobile phones and robots to massive enterprise clusters.

SNACK-AI integrates:

Snowflake Platform
NiFi (Apache)
Apache Iceberg
Cortex AI (Agents/Search/MCP)
Kafka (Apache Kafka)

Deep Dive into SNACK-AI:

Read: SNACK-AI: The 2026 Pattern (Medium)
Code: Official SNACK-AI GitHub Repository
Weekly Context: SNACK-AI Overview

Thanks

https://sessionize.com/tspann

https://github.com/timothyspann

May the Fourth Be With You! Generated with Cortex Code for All Data and AI Weekly - May 4, 2026

All Data and AI Weekly #239-27April2026

Timothy Spann — Sat, 25 Apr 2026 16:52:52 +0000

All Data and AI Weekly #239-27April2026

( AI, Data, Agentic AI, Cortex Code, NiFi, Iceberg, Polaris, Streamlit, Python, Java, SQL, MCP, LLM, RAG, Cortex AI, AISQL, Search, Unstructured Data )

Tim's Corner: The Agentic Enterprise Goes GA

Welcome to issue 239 - our biggest AI-focused edition yet! Snowflake went all-in on agentic AI this week with a wave of announcements that collectively define what the Agentic Enterprise looks like in production. Snowflake Intelligence evolved into a personal work agent that turns insights into action. Cortex Code expanded into a governed agent for your entire data stack with desktop, CLI, and Snowsight availability. Cortex Agents became the platform powering it all - orchestrating multi-step work across data, workflows, and external systems. Anthropic's Claude Opus 4.7 landed on Cortex AI as a same-day launch partner. Cortex AI Guardrails went GA to protect against prompt injection and jailbreak attacks. Kafka Connector v4 went GA with a ground-up rewrite delivering 10 GB/s throughput on Snowpipe Streaming. Fine-tuning Arctic Extract models went GA. Cortex AI Function Studio entered preview - turning optimized AI logic into reusable governed SQL functions. Iceberg tables with Snowflake storage entered preview - no external volumes needed. And Snowflake Documentation got agent-friendly with hierarchical llms.txt and markdown rendering. Plus Capital One published a deep hands-on review of Cortex Code CLI, and the community delivered guides on MCP Connectors, guardrails, skills, agent teams, and cost management. Summit 2026 announced Anthropic's Daniela Amodei as keynote speaker. I'm heading to Tysons Corner this week for a hands-on lab. Let's dig in.

Snowflake Summit 2026 - Tim is Speaking!

I'll be speaking at Snowflake Summit 2026 on NiFi and Agents. Check the session catalog:

New SNACK-AI Repositories

Repository	Description
SNACKAI-CoCo-SnowflakeSummit2026Agenda	Summit 2026 session agenda explorer built with Cortex Code
SNACKAI-CoCo-CortexAITraining	Cortex AI training materials and examples built with SNACK-AI
SNACKAI-CoCo-AIGovernance	AI governance patterns built with Cortex Code and SNACK-AI
SNACKAI-CoCo-FindDataNearby	Location-aware data discovery built with Cortex Code
SNACKAI-CoCo-SpringSnowGhost	Spring ghost detection with Cortex Code and SNACK-AI
SNACKAI-CoCo-AIQueries	AI query builder with Cortex Code
SNACKAI-CoCo-PolyMarket	Prediction market analytics with Cortex Code
SNACKAI-CoCo-VPSCalculator	VPS cost calculator with Cortex Code

Upcoming Events: Catch Tim Live!

April 29: Tysons Corner Hands-On Lab: Automate Data Workflows with Cortex Code and Evolv - Tysons Corner, VA
April 30: Snowflake Accelerate - Virtual
May 6: Philly Hands-On Lab: Automate Data Workflows with Cortex Code and Evolv - Philadelphia, PA
May 13: Snowflake NoCode Live (SNL) - Virtual Hands-On Lab
May 14: From Raw Data to a Conversational AI Agent with Snowflake in 90 Minutes - Virtual
May 20: Budapest Data and AI - Budapest, Hungary - Tim Virtual speaking
May 21: Data for Breakfast Encore - Virtual
May 27: From Raw to Reliable: Build AI-Powered Data Quality Pipelines with Cortex Code - Virtual Hands-On Lab
June 2-5: Snowflake Summit 2026 - San Francisco, CA - Join me, I will be speaking on NiFi and Agents.

Snowflake Dev Day (In-Person): https://www.snowflake.com/en/dev-day/in-person/

All Snowflake Events: https://www.snowflake.com/about/events/

Payers AI Summit Workshop (Apr 23): https://www.snowflake.com/webinars/payers-ai-snowflake-summit-workshop-20260423/

Snowflake Summit 2026 - San Francisco, June 2-5

The biggest event of the year is coming! Snowflake Summit 2026 returns to San Francisco June 2-5. Snowflake announced that Anthropic's Co-Founder and President Daniela Amodei will join the keynote, along with 500+ sessions, 200+ on-site partners, and new AI-powered experiences.

Press Release: Snowflake Makes AI Real at Summit 26

Register now: https://www.snowflake.com/summit/

Cortex Code CLI Developer Trial: https://signup.snowflake.com/

Featured: Snowflake Expands Intelligence and Cortex Code for the Agentic Enterprise

Snowflake made three landmark announcements this week that define the Agentic Enterprise platform:

Snowflake Intelligence: Personal Work Agent

Snowflake Intelligence is now a personalized, context-aware AI agent that transforms how business users turn insights into action. It connects data, workflows, and external systems so users can move from questions to decisions to actions - all within a single experience grounded in enterprise data.

Cortex Code: One Governed Agent for Your Entire Data Stack

Cortex Code expands into a governed agent that works across your entire data stack - warehouse, transformation tools, and orchestration layers. Available as Desktop, CLI, and in Snowsight. Unlike general-purpose coding assistants, Cortex Code understands data context: your schemas, lineage, governance policies, and query patterns.

Cortex Code Desktop: https://www.snowflake.com/en/product/cortex-code-desktop/

Cortex Agents: The Enterprise AI Agent Platform

Cortex Agents is the platform powering Snowflake Intelligence and enterprise AI agents. It orchestrates multi-step work across data, workflows, and external systems, with governance built in. Teams can build custom agents or use Snowflake Intelligence as a turnkey solution.

Press Release: Snowflake Expands Intelligence and Cortex Code to Power the Agentic Enterprise

Investors: Investor Press Release

Featured: Claude Opus 4.7 on Snowflake Cortex AI

Claude Opus 4.7, Anthropic's latest flagship model, is available on Snowflake Cortex AI as a same-day launch partner. Available in public preview in US and EU within the secure Snowflake perimeter for use with Cortex Code, Cortex AI Functions, Cortex REST API, and Snowflake Intelligence.

Cortex AI & Agents

Cortex AI Guardrails (GA - Apr 20)

Cortex AI Guardrails are now Generally Available. Part of Snowflake Horizon Catalog, they provide run-time protection against prompt injection and jailbreak attacks on Cortex Code.

Release Notes: https://docs.snowflake.com/en/release-notes/2026/other/2026-04-20-cortex-ai-guardrails-ga

Documentation: https://docs.snowflake.com/en/user-guide/snowflake-cortex/cortex-ai-guardrails

Cortex AI Function Studio (Limited Access)

Cortex AI Function Studio lets teams turn optimized AI logic (model, prompt, and evaluation) into reusable, governed SQL functions callable from queries and pipelines like any other Snowflake function.

Documentation: https://docs.snowflake.com/en/LIMITEDACCESS/snowflake-cortex/cortex-ai-function-studio

Improved SQL Generation in Cortex Agents (Apr 13)

Cortex Agents that use Cortex Analyst semantic views as tools now generate SQL directly rather than delegating to the Cortex Analyst service. This results in improved accuracy and lower latency for analytical queries. No changes to agent configuration or semantic views required.

Cortex Search Monitoring (Preview - Apr 14)

Cortex Search request monitoring is now in public preview. Enable request logging to collect detailed information about search requests including query patterns, response times, and request details. Logs are stored in the SNOWFLAKE.LOCAL.AI_OBSERVABILITY_EVENTS event table.

Cortex Search Replication (GA - Apr 14)

Cortex Search Service replication is now GA. Replicate Cortex Search Services from a source account to one or more target accounts using replication or failover groups.

Auto-Generated Data Agents

Auto-generated data agents documentation for creating agents automatically from your data assets.

Documentation: https://docs.snowflake.com/en/collaboration/auto-generated-data-agents

Cortex Agents Sharing

Documentation for sharing Cortex Agents across accounts and organizations.

Documentation: https://docs.snowflake.com/en/user-guide/snowflake-cortex/cortex-agents-sharing

AI Function Cost Management

Documentation for managing and monitoring AI function credit consumption across Cortex AI services.

Documentation: https://docs.snowflake.com/en/user-guide/snowflake-cortex/ai-func-cost-management

Snowflake Documentation for AI Agents and LLMs (Apr 15)

Snowflake documentation is now agent-friendly. Hierarchical llms.txt at docs.snowflake.com/llms.txt follows a structured format so agents can fetch only the sections they need. Markdown rendering ensures clean consumption by LLMs. Reduces token usage and improves relevance.

Fine-Tuning Arctic Extract Models (GA - Apr 20)

Fine-tuning arctic-extract models is now GA. Adapt the model to your documents and domains for more consistent structured extraction, then run inference with AI_EXTRACT using your fine-tuned model. Now includes the max_epochs option.

Snowflake Platform Updates

Kafka Connector v4 (GA - Apr 20)

The Snowflake Connector for Kafka version 4.0 is now GA. A ground-up rewrite built on Snowpipe Streaming architecture delivering up to 10 GB/s throughput per table with 5-10 second end-to-end latency and exactly-once ordered delivery semantics.

Release Notes: https://docs.snowflake.com/en/release-notes/2026/other/2026-04-20-kafka-connector-v4-ga

Documentation: https://docs.snowflake.com/en/user-guide/kafka-connector/index

Storage Lifecycle Policies: Google Cloud Support (Apr 24)

Storage lifecycle policies now support archival on Google Cloud with COOL and COLD storage tiers. Archival policies are now available on all three major cloud providers.

Performance Explorer Usability (Apr 17)

Performance Explorer in Snowsight gets tabs, filter presets, CSV export, and keyword search in side panels.

Alerts UI

Updated documentation for the Alerts UI in Snowsight for monitoring and managing alert configurations.

Documentation: https://docs.snowflake.com/en/user-guide/alerts-ui

Data Clean Rooms Updates (Apr 16)

Snowflake Data Clean Rooms API Version 14.4 with general performance improvements and bug fixes.

Cortex Code Agent SDK

Documentation for the Cortex Code Agent SDK for building custom agents programmatically.

Documentation: https://docs.snowflake.com/en/user-guide/cortex-code-agent-sdk/cortex-code-agent-sdk

Snowflake Accelerate

Snowflake Accelerate - virtual event for accelerating your data and AI initiatives.

Register: https://www.snowflake.com/accelerate/

Cortex REST API Guides

Integrating Fluentd with Snowflake

Guide for integrating Fluentd log collection with Snowflake for centralized log analytics.

Guide: https://www.snowflake.com/en/developers/guides/integrating-fluentd-with-snowflake/#0

Apache Iceberg Updates

Iceberg Tables with Snowflake Storage (Preview - Apr 14)

Create Apache Iceberg tables that use Snowflake storage - no external volumes needed. Snowflake stores and manages the Iceberg table files, with Fail-safe data protection just like standard Snowflake tables.

Dynamic Iceberg Tables: Partition, File Size, Path Layout (GA - Apr 13)

Dynamic Iceberg tables now support PARTITION BY (identity, bucket, truncate, year, month, day, hour), TARGET_FILE_SIZE, and PATH_LAYOUT properties in General Availability.

Iceberg Description Propagation from External Catalogs (GA - Apr 20)

Snowflake bidirectionally syncs table and column descriptions between your external Iceberg REST catalog and catalog-linked database.

Iceberg Tables with External Query Engines

Access Iceberg tables managed by Snowflake Horizon using external query engines (Spark, Trino, etc.).

Documentation: https://docs.snowflake.com/en/user-guide/tables-iceberg-access-using-external-query-engine-snowflake-horizon#considerations-for-accessing-iceberg-tables-with-an-external-query-engine

Sync Data from Postgres to Snowflake with Iceberg and pg_lake

Guide for syncing data from PostgreSQL to Snowflake using Iceberg and pg_lake for real-time replication.

Guide: https://www.snowflake.com/en/developers/guides/sync-data-from-postgres-to-snowflake-with-iceberg-and-pg-lake/

Dynamic Tables

Dynamic Table Primary Keys (GA - Apr 16)

Primary key support in dynamic tables is GA. Enables row-level change tracking and incremental refresh downstream of full-refresh tables.

MIN_BY and MAX_BY with Incremental Refresh (GA - Mar 19)

MIN_BY and MAX_BY aggregate and window functions now supported with dynamic table incremental refresh.

Primary Keys in Dynamic Tables: The Smallest Change with the Biggest Impact

Community deep dive on how primary keys in dynamic tables transform pipeline performance.

OpenFlow

OpenFlow Connector for HubSpot (Preview - Apr 15)

The Openflow Connector for HubSpot is now in preview. Ingests HubSpot CRM data into Snowflake with initial full load followed by incremental updates using timestamps.

Debugging OpenFlow with Event Tables and Cortex Code CLI

How to debug Snowflake OpenFlow pipelines using event tables and Cortex Code CLI for observability.

Powering Data Integration with AI: Mastering OpenFlow with Cortex Code (Apr 28)

Upcoming webinar on using OpenFlow with Cortex Code for AI-powered data integration.

Register: https://www.snowflake.com/en/webinars/demo/powering-data-integration-with-ai-mastering-openflow-with-cortex-code-2026-04-28/

MCP & Agent Tooling

Getting Started with MCP Connectors

Hands-on guide for configuring and using MCP Connectors to connect Cortex Agents with external tools through the standardized Model Context Protocol.

Guide: https://www.snowflake.com/en/developers/guides/sfguide-getting-started-with-mcp-connectors/

Best Practices for Building Cortex Agents

Official Snowflake guide on best practices for building production-ready Cortex Agents.

Guide: https://www.snowflake.com/en/developers/guides/best-practices-to-building-cortex-agents/

Getting Started with Snowflake Agents API and React

Build a React frontend for Snowflake Cortex Agents using the Agents API.

Guide: https://www.snowflake.com/en/developers/guides/getting-started-with-snowflake-agents-api-and-react/#0

Integrate Cortex Agents with Slack

Connect Cortex Agents to Slack for AI-powered data workflows in your team's communication hub.

Guide: https://www.snowflake.com/en/developers/guides/integrate-snowflake-cortex-agents-with-slack/#0

Context Hub (Andrew Ng)

Context Hub by Andrew Ng - a framework for managing and providing context to AI agents.

GitHub: https://github.com/andrewyng/context-hub#quick-start

Google Skills

Google Skills - a collection of reusable skill definitions for AI agents.

GitHub: https://github.com/google/skills/

Semantic Views & Intelligence

Self-Service Report Mart with Snowflake Semantic View

Build a self-service report mart using Snowflake Semantic Views and Streamlit for business users to create their own reports.

Blog: https://medium.com/snowflake/build-a-self-service-report-mart-with-snowflake-semantic-view-825b57ac76b2

Code: https://github.com/sabrinazhengliu/code-examples/tree/master/streamlit/self-service-report-mart

From the Community: Medium & Blogs

Article	Description
Capital One: Cortex Code CLI Hands-On Review (TPC-DS 10TB)	Capital One's deep hands-on review of Cortex Code CLI on a TPC-DS 10TB benchmark
How to Manage Cortex Code Cost Without Slowing Engineers Down	Seemore Data on separating warehouse compute from AI token credits for cost management
Build Custom Skills in Cortex Code CLI	How to build custom skills for extending Cortex Code capabilities
Add Guardrails with Hooks in Cortex Code CLI (Part 5)	Adding safety guardrails to AI agents using hooks in Cortex Code
Build and Run Agent Teams in Cortex Code CLI (Part 4)	Multi-agent team coordination in Cortex Code CLI
Build Custom Subagent in Cortex Code CLI (Part 3)	Advanced subagent delegation and multi-agent coordination
Snowflake Validated the Agentic Data Engineering Stack	What Snowflake's agentic AI announcements mean for data engineering
Debugging OpenFlow with Event Tables and Cortex Code	Debug OpenFlow pipelines with event tables and observability
Never Lose a Row Again: Production DML Error Logging in Snowflake	Production-grade DML error logging patterns for zero data loss
Primary Keys in Dynamic Tables: Smallest Change, Biggest Impact	How primary keys transform dynamic table pipeline performance
Self-Service Report Mart with Semantic View	Build self-service reporting with Snowflake Semantic Views and Streamlit
How to Build Enterprise-Grade skill.md for Cortex Code (Part 1)	Enterprise patterns for building production skill definitions
Lakehouse SQL Identifier Rules	InfoQ on SQL identifier rules across lakehouse platforms
Snowflake Innovator Spotlight (Cyber Defense Magazine)	Snowflake recognized as innovator in cybersecurity

GitHub: Snowflake Labs & Community

Repository	Description
Usage_History_Examples	Snowflake usage history query examples and dashboards
Cortex_Agent_Evaluation	Cortex Agent evaluation examples and test datasets
self-service-report-mart	Streamlit self-service report mart with Semantic Views
context-hub	Andrew Ng's framework for managing AI agent context
google/skills	Google's reusable skill definitions for AI agents
DinoBase	Open source database management platform
FinceptTerminal	Financial data terminal and analytics platform
gr3ml1n-cyberdeck	Cyberdeck hardware project for portable computing
SNACKAI-CoCo-SnowflakeSummit2026Agenda	Summit 2026 agenda explorer with Cortex Code
SNACKAI-CoCo-CortexAITraining	Cortex AI training with SNACK-AI
SNACKAI-CoCo-AIGovernance	AI governance patterns with Cortex Code
SNACKAI-CoCo-FindDataNearby	Location-aware data discovery with Cortex Code

Video Content

Video	Description
Snowflake Cortex Agents Overview	Video walkthrough of Cortex Agents capabilities
Snowflake Intelligence Demo	Demo of Snowflake Intelligence personal work agent
Cortex Code Desktop & CLI	Cortex Code Desktop and CLI capabilities walkthrough
Snowflake AI Playlist	Complete Snowflake AI video playlist

AI Research & Benchmarks

Token Leaderboard

Token cost leaderboard comparing AI model pricing and performance.

Leaderboard: https://tokens.billchambers.me/leaderboard

Snowflake BCR 2026-10_14

Snowflake Behavior Change Release 2026-10_14 documentation.

Release Notes: https://docs.snowflake.com/en/release-notes/2026/10_14

ROI of Generative & Agentic AI

Snowflake published extensive research demonstrating the radical ROI organizations are seeing from generative and agentic AI implementations.

Resources:

SNACK-AI: The 2026 Pattern

As we look forward in 2026, SNACK-AI is the architectural pattern for powering AI applications at any scale - from mobile phones and robots to massive enterprise clusters.

SNACK-AI integrates:

Snowflake Platform
NiFi (Apache)
Apache Iceberg
Cortex AI (Agents/Search/MCP)
Kafka (Apache Kafka)

Deep Dive into SNACK-AI:

Read: SNACK-AI: The 2026 Pattern (Medium)
Code: Official SNACK-AI GitHub Repository
Weekly Context: SNACK-AI Overview

Thanks

https://sessionize.com/tspann

https://github.com/timothyspann

Snowflake Shutdown SQL — Stop All Running Items

Use these SQL commands to suspend all active Snowflake resources and minimize credit consumption:

-- ============================================
-- STOP ALL SNOWFLAKE ITEMS
-- Run as ACCOUNTADMIN in Snowsight or SnowSQL
-- ============================================

-- 1. Suspend all warehouses
ALTER WAREHOUSE IF EXISTS GHOST_DETECT_WH SUSPEND;
ALTER WAREHOUSE IF EXISTS INGEST SUSPEND;

-- 2. Suspend Cortex Search services
ALTER CORTEX SEARCH SERVICE IF EXISTS GHOST_DETECTION.APP.SPIRIT_BOX_SEARCH SET TARGET_LAG = 'DOWNSTREAM';

-- 3. Suspend all tasks
ALTER TASK IF EXISTS GHOST_DETECTION.APP.REFRESH_GHOST_STATS SUSPEND;

-- 4. Suspend dynamic tables (already suspended, but verify)
-- ALTER DYNAMIC TABLE <db>.<schema>.<table> SUSPEND;

-- 5. Verify nothing is running
SELECT 'Warehouses' AS type, NAME, STATE 
  FROM SNOWFLAKE.ACCOUNT_USAGE.WAREHOUSES 
  WHERE DELETED IS NULL AND STATE = 'STARTED';

SHOW CORTEX SEARCH SERVICES IN GHOST_DETECTION.APP;

SELECT 'Tasks' AS type, NAME, STATE 
  FROM GHOST_DETECTION.INFORMATION_SCHEMA.TASK_HISTORY 
  WHERE STATE = 'STARTED'
  LIMIT 10;

Also available via shell: ./manage.sh snowflake-stop

Generated with Cortex Code for All Data and AI Weekly - April 27, 2026

All Data and AI Weekly #238-20April2026

Timothy Spann — Sat, 18 Apr 2026 01:18:47 +0000

All Data and AI Weekly #238-20April2026

( AI, Data, Agentic AI, Cortex Code, NiFi, Iceberg, Polaris, Streamlit, Python, Java, SQL, MCP, LLM, RAG, Cortex AI, AISQL, Search, Unstructured Data )

Tim's Corner: Agents Get Report Cards, Polaris Graduates, and JSON Goes Turbo

Welcome to issue 238! This week Snowflake delivered a trio of engineering deep dives that show the platform maturing fast. Cortex Agent Evaluations hit GA with the research-backed Agent GPA framework - Goal, Plan, Action metrics that catch 95% of human-annotated agent errors so you can ship agents with confidence instead of crossed fingers. Apache Polaris graduated to an Apache Top-Level Project and Snowflake published a compelling engineering blog on how the Iceberg REST Catalog is ending vendor lock-in for real. Meanwhile, PARSE_JSON got a 2x speed boost via simdjson integration - 200 million queries a day just got faster without changing a line of code. On the platform side, Performance Explorer gained tabs, filter presets, CSV export and search, while Dynamic Table primary keys went GA enabling incremental refresh downstream of full-refresh tables. The AI Pulse April 2026 livestream is Tuesday April 21 - don't miss the demos on Snowflake Intelligence and Cortex Agents. I'm speaking at Nodes AI Conference this week and gearing up for Summit in June. Let's dig in.

Tim's Content

Snowflake Summit 2026 - Tim is Speaking!

I'll be speaking at Snowflake Summit 2026 on NiFi and Agents. Check the session catalog:

New SNACK-AI Repositories

Repository	Description
SNACKAI-CoCo-SpringSnowGhost	Spring-themed ghost detection application built with Cortex Code and SNACK-AI
SNACKAI-CoCo-AIQueries	AI-powered query builder and analytics built with Cortex Code
SNACKAI-CoCo-PolyMarket	Prediction market analytics built with Cortex Code and SNACK-AI
SNACKAI-CoCo-VPSCalculator	VPS cost calculator built with Cortex Code

https://neo4j.com/blog/twin4j/this-week-in-neo4j-community-aura-agents-contextgraph-spring-data-and-more/

Blog: Prediction Markets at Warp Speed - What the SNACKAI-CoCo-PolyMarket Repository Reveals

Presentation: Nodes AI Conference - Ghost Busting with Neo4j Graph Analytics in Snowflake (PDF)

Upcoming Events: Catch Tim Live!

April 21: Snowflake AI Pulse - April 2026 - Virtual Livestream
April 22: Snowflake Connect: Building Transformation Pipelines for AI-Ready Data - Virtual
April 23: Snowflake Connect: Analytics - Virtual
April 29: Tysons Corner Hands-On Lab: Automate Data Workflows with Cortex Code and Evolv - Tysons Corner, VA
April 30: Snowflake Accelerate - Virtual
May 20: Budapest Data and AI - Budapest, Hungary - Tim Virtual speaking
June 2-5: Snowflake Summit 2026 - San Francisco, CA - Join me, I will be speaking on NiFi and Agents.

Snowflake Dev Day (In-Person): https://www.snowflake.com/en/dev-day/in-person/

All Snowflake Events: https://www.snowflake.com/about/events/

Snowflake Summit 2026 - San Francisco, June 2-5

The biggest event of the year is coming! Snowflake Summit 2026 returns to San Francisco June 2-5. Expect keynotes, hands-on labs, deep technical sessions, partner showcases, and announcements that will shape the future of the data and AI ecosystem. Whether you're a data engineer, data scientist, architect, or business leader - this is the event to be at.

Register now: https://www.snowflake.com/summit/

Featured: Cortex Agent Evaluations & the Agent GPA Framework

Snowflake shipped a comprehensive evaluation stack for Cortex Agents this week, anchored by the research-backed Agent GPA (Goal-Plan-Action) framework.

Cortex Agent Evaluations (GA)

Cortex Agent Evaluations are now generally available - a complete solution for validating agent behavior and performance before and after production deployment. Define a dataset of test queries with expected responses, run evaluations, and receive structured metrics. Four built-in metrics cover tool selection accuracy, tool execution accuracy, answer correctness, and logical consistency. Custom LLM judge metrics let you encode domain-specific quality standards. Every evaluation run is fully traced and integrated with Cortex Agent Monitoring for thread-level and trace-level debugging.

Agent GPA Framework

The Agent GPA (Goal-Plan-Action) framework, developed by Snowflake AI Research and available in the open source TruLens library, evaluates agents across goals, plans, and actions. In benchmark testing on the TRAIL/GAIA dataset, Agent GPA judges caught 95% of human-annotated errors (1.8x improvement over baseline), achieved 86% error localization (vs 49% for baseline judges), and matched 570 human-annotated failures across all severity levels.

Getting Started with Cortex Agent Evaluations

Hands-on guide to running your first agent evaluation - from dataset preparation through metric analysis.

Featured: Apache Polaris - The Iceberg REST Catalog and the End of Vendor Lock-In

Apache Polaris graduated to an Apache Top-Level Project on February 18, 2026, cementing its role as the vendor-neutral standard for Iceberg catalog management. Snowflake's engineering blog lays out the case clearly: Polaris implements bidirectional Iceberg REST Catalog access with no proprietary extensions, the same open source project powers Snowflake's Horizon Catalog in production, and contributions from hundreds of people across dozens of companies (Dremio, Google Cloud, Microsoft, Confluent, AWS and more) have driven explosive growth. The community has spoken - the Apache Iceberg REST catalog specification is the definitive language for data exchange.

Featured: PARSE_JSON 2x Faster with simdjson

Snowflake's PARSE_JSON function now runs 2x faster on average thanks to integration with simdjson, a high-performance JSON parser leveraging SIMD instructions. With nearly 200 million queries a day using JSON parsing, this delivers meaningful performance improvements at scale - an average 5.7% latency improvement for queries using PARSE_JSON. The implementation maintains 100% backward compatibility with all Snowflake-specific JSON behaviors. No query rewrites needed. No behavior changes. Just faster execution.

Snowflake AI Pulse - April 2026

The monthly Snowflake AI Pulse livestream returns Tuesday, April 21 at 1:00 PM PT. This month: see how business users move from questions to insights to action through a personalized agentic experience powered by Snowflake Intelligence, explore your data ecosystem with Cortex Code, and accelerate agent development with Cortex Agents. Features deep dives, live demos, and Q&A with the Snowflake Product team.

Register: Snowflake AI Pulse - April 2026

Cortex AI & Agents

Cortex Agent Skills (Preview - Apr 15)

Skills let you package tool definitions, instructions and guardrails into reusable modules that multiple Cortex Agents can share. Define a skill once, attach it to any agent.

data_agent_run Function

New data_agent_run function for programmatically invoking Cortex Agent runs from SQL and Snowpark.

Documentation: https://docs.snowflake.com/en/sql-reference/functions/data_agent_run

MCP Connectors (Limited Access)

MCP Connectors bring Model Context Protocol support to Snowflake, enabling Cortex Agents to connect with external tools and services through the standardized MCP interface.

Documentation: https://docs.snowflake.com/en/LIMITEDACCESS/snowflake-cortex/mcp-connectors

Agentic Triage: Building AI Agents for Cybersecurity

How to build agentic triage systems that automate cybersecurity alert investigation and response using Cortex Agents.

Building Cybersecurity Agents with Snowflake

End-to-end guide for building cybersecurity agents on Snowflake's platform - from data ingestion through automated threat response.

Agent Teams (Part 4)

Fourth installment in the series on building multi-agent teams - advanced coordination patterns for complex workflows.

Invoice Processing Pipeline with Cortex Agents

Build an end-to-end invoice processing pipeline using Cortex Agents to extract, validate and route invoice data automatically.

Cortex Code Credit Manager

Skillhalla for Cortex Code - a credit management skill that tracks and controls Cortex Code credit consumption.

Resources:

Snowflake Platform Updates

Performance Explorer Usability (Apr 17)

Performance Explorer in Snowsight gets a major usability upgrade: tabbed layout with Queries, Warehouses, and Tables pages; filter presets to save and set default filter configurations; CSV export for side-panel detail tables; and keyword search within side panels.

Dynamic Table Primary Keys (GA - Apr 16)

Primary key support in dynamic tables is now Generally Available. Snowflake can use primary keys to track row-level changes and enable incremental refresh downstream of full-refresh dynamic tables. Supports base table-defined primary keys (with RELY property), query-derived primary keys from GROUP BY and QUALIFY ROW_NUMBER() patterns, and incremental refresh on full-refresh upstream tables.

Iceberg Internal Storage

Documentation for using Iceberg tables with Snowflake-managed internal storage - simplifying Iceberg adoption without external volumes.

Documentation: https://docs.snowflake.com/en/user-guide/tables-iceberg-storage

Create Table Constraint

Updated documentation for CREATE TABLE constraints including primary key, unique, foreign key and not null constraints.

Documentation: https://docs.snowflake.com/en/sql-reference/sql/create-table-constraint

Apache Iceberg & Polaris

From Iceberg to AI: The Complete Journey

Quickstart guide walking through the full journey from Apache Iceberg tables to AI-powered analytics on Snowflake.

Apache Polaris Iceberg REST Catalog (Engineering Blog)

Deep engineering blog on how Apache Polaris and the Iceberg REST Catalog are ending vendor lock-in. Polaris graduated to an Apache Top-Level Project with contributions from hundreds of people across dozens of companies.

Semantic Views & Intelligence

dbt Semantic Layer vs Text-to-SQL Semantic Views

Analysis comparing the dbt Semantic Layer approach with text-to-SQL semantic views for structured data querying - tradeoffs, use cases and when to use each.

Rill: Metrics SQL and Semantic Layer

Rill brings a metrics-first SQL approach to semantic layers - define metrics once, query everywhere.

Omni-to-Snowflake Semantic View Skill

Cortex Code skill for converting Omni semantic models to Snowflake Semantic Views automatically.

Blog: https://medium.com/snowflake/from-omni-to-snowflake-an-automated-approach-to-semantic-view-creation-fe6f4bb5f15a

AI Models & Research

Claude Opus 4 and Claude 7 Sonnet

Anthropic releases Claude Opus 4 and Claude 7 Sonnet (also known as Claude Sonnet 4) - next-generation models with improved reasoning, code generation, and agentic capabilities.

Gemma 4 E2B

Google releases Gemma 4 E2B - the latest in the Gemma family of open models with enhanced efficiency and multimodal capabilities.

Hermes Agent

NousResearch releases Hermes Agent - an open model fine-tuned specifically for agentic tool-use and multi-step reasoning.

simdjson

The simdjson library parses JSON at gigabytes per second using SIMD instructions. Now powering Snowflake's PARSE_JSON with a 2x performance boost.

GitHub: https://github.com/simdjson/simdjson

From the Community: Medium & Blogs

Article	Description
Agent Teams Part 4	Advanced multi-agent coordination patterns for complex workflows
Invoice Processing Pipeline with Cortex Agents	End-to-end invoice extraction and routing with Cortex Agents
Cortex Code Credit Manager	Track and control Cortex Code credit consumption with Skillhalla
From Omni to Snowflake Semantic Views	Automated Omni-to-Snowflake semantic view conversion
dbt Semantic Layer vs Text-to-SQL	Comparing semantic layer approaches for structured data querying
Prediction Markets at Warp Speed	Tim Spann on the SNACKAI-CoCo-PolyMarket architecture

GitHub: Snowflake Labs & Community

Repository	Description
cortex-code-skillhalla	Skillhalla - collection of skills for Cortex Code including credit manager
SNACKAI-CoCo-SpringSnowGhost	Spring ghost detection with Cortex Code and SNACK-AI
SNACKAI-CoCo-AIQueries	AI query builder with Cortex Code
SNACKAI-CoCo-PolyMarket	Prediction market analytics with Cortex Code
SNACKAI-CoCo-VPSCalculator	VPS cost calculator with Cortex Code
simdjson	Parsing gigabytes of JSON per second - now powering Snowflake's PARSE_JSON

Developer Tools & Open Source

Tool	Description
Lightpanda	Lightweight headless browser for web automation and scraping
Magika	AI-powered file type detection by Google
XyOps	Operations toolkit for infrastructure management
OpenSourcePOS	Open source point of sale system
Frosty	Snowflake Labs guide for building an LLM chatbot on Streamlit
Libretto	AI prompt management and evaluation platform
Rill Metrics SQL	Metrics-first SQL semantic layer

MCP & Agent Tooling

MCP Connectors in Snowflake (Limited Access)

Snowflake introduces MCP Connectors for Model Context Protocol integration, enabling Cortex Agents to connect with external tools through standardized interfaces.

Documentation: https://docs.snowflake.com/en/LIMITEDACCESS/snowflake-cortex/mcp-connectors

Agentic Triage for Cybersecurity

Quickstart guide for building AI agents that automate cybersecurity alert triage and investigation.

Quickstart: https://quickstarts.snowflake.com/guide/agentic-triage-building-ai-agents-for-cybersecurity/

ROI of Generative & Agentic AI

Snowflake published extensive research demonstrating the radical ROI organizations are seeing from generative and agentic AI implementations.

Resources:

Data Sharing & Open Table Formats

Snowflake's vision for data sharing with open table formats enables seamless data exchange while maintaining interoperability across engines and platforms.

SNACK-AI: The 2026 Pattern

As we look forward in 2026, SNACK-AI is the architectural pattern for powering AI applications at any scale - from mobile phones and robots to massive enterprise clusters.

SNACK-AI integrates:

Snowflake Platform
NiFi (Apache)
Apache Iceberg
Cortex AI (Agents/Search/MCP)
Kafka (Apache Kafka)

Deep Dive into SNACK-AI:

Read: SNACK-AI: The 2026 Pattern (Medium)
Code: Official SNACK-AI GitHub Repository
Weekly Context: SNACK-AI Overview

Thanks

https://sessionize.com/tspann

https://github.com/timothyspann

Generated with Cortex Code for All Data and AI Weekly - April 20, 2026

All Data and AI Weekly #237-13April2026

Timothy Spann — Mon, 13 Apr 2026 15:41:56 +0000

All Data and AI Weekly #237-13April2026

( AI, Data, Agentic AI, Cortex Code, NiFi, Iceberg, Polaris, Streamlit, Python, Java, SQL, MCP, LLM, RAG, Cortex AI, AISQL, Search, Unstructured Data )

Tim's Corner: NiFi 2.9, Document Intelligence, and Summit Countdown

Welcome to issue 237! This week delivers a massive wave of platform announcements. Apache NiFi 2.9.0 dropped with initial Connector support and GCS Iceberg integration. Snowflake shipped AI_COMPLETE Document Intelligence to GA - reason over PDFs, Word docs, charts and tables natively. Budgets for AI features are now GA, giving teams granular cost control over Cortex Code, Agents, and Intelligence. The AI_SERVICES billing breakout brings per-service visibility for Cortex Agents, Cortex Code CLI, Cortex Code Snowsight, and Snowflake Intelligence. Iceberg write support for Unity Catalog on Azure is GA, Snowpipe Streaming error logging is GA, and medical/health data classifiers landed for HIPAA-aligned sensitive data detection. On the community front, there are new guides on embedding Cortex Agents in Tableau, connecting Cortex Code to Slack, and the Iceberg v3 interoperability story. I'm speaking at Snowflake Summit 2026 in June on NiFi and Agents - come say hello! Let's dig in.

Tim's Content

Snowflake Summit 2026 - Tim is Speaking!

I'll be speaking at Snowflake Summit 2026 on NiFi and Agents. Check the session catalog:

New SNACK-AI Repositories

Repository	Description
SNACKAI-CoCo-PolyMarket	Prediction market analytics built with Cortex Code and SNACK-AI
SNACKAI-CoCo-VPSCalculator	VPS cost calculator built with Cortex Code

Blog: Prediction Markets at Warp Speed - What the SNACKAI-CoCo-PolyMarket Repository Reveals

Upcoming Events: Catch Tim Live!

April 9: The Agentic Enterprise: From Strategy to ROI - Virtual
April 13-17: D4BV - Virtual APAC
April 14: D4BNA - Virtual US
April 15: Nodes AI Conference - Virtual
April 22: Snowflake Connect: Building Transformation Pipelines for AI-Ready Data - Virtual
April 29: Tysons Corner Hands-On Lab: Automate Data Workflows with Cortex Code and Evolv - Tysons Corner, VA
April 30: Snowflake Accelerate - Virtual
May 20: Budapest Data and AI - Budapest, Hungary - Tim Virtual speaking
June 2-5: Snowflake Summit 2026 - San Francisco, CA - Join me, I will be speaking on NiFi and Agents.

Snowflake Dev Day (In-Person): https://www.snowflake.com/en/dev-day/in-person/

All Snowflake Events: https://www.snowflake.com/about/events/

Snowflake Summit 2026 - San Francisco, June 2-5

Register now: https://www.snowflake.com/summit/

Featured: Apache NiFi 2.9.0 Released

Apache NiFi 2.9.0 is here with over 150 issues resolved! This is a significant release that adds initial support for Connectors - a new NiFi concept - plus Google Cloud Storage support for Iceberg and a refactored ConsumeKinesis processor. A key part of the SNACK-AI stack continues to evolve.

Key Highlights:

Initial support for Connectors
Google Cloud Storage support for Iceberg
Refactored ConsumeKinesis to avoid KCL dependency
Bug fix for ConsumeKafka duplicate message processing during rebalance

Release Notes: https://cwiki.apache.org/confluence/display/NIFI/Release+Notes#ReleaseNotes-Version2.9.0

Cortex AI & Agents

AI_COMPLETE Document Intelligence (GA - Apr 2)

AI_COMPLETE document intelligence is now Generally Available. The multimodal AI_COMPLETE function supports document inputs including PDFs and Word files stored in stages. Answer questions about charts and diagrams, compare information across documents, generate audience-tailored summaries, and extract structured insights from reports, contracts, and technical documentation.

Cortex Code CLI Meets Slack

Connect Cortex Code CLI to Slack for AI-powered data workflows directly from your team's communication hub.

Build Custom Subagents in Cortex Code CLI (Part 3)

Third installment in the series on building custom subagents - covering advanced delegation patterns and multi-agent coordination.

Subagent for Cortex Code (Snowflake Labs)

Official Snowflake Labs repository with reference implementations for building subagents in Cortex Code.

GitHub: https://github.com/Snowflake-Labs/subagent-cortex-code

Tableau + Cortex Agent Integration

Embed a Snowflake Cortex Agent directly into Tableau dashboards, giving business users natural language data exploration inside their existing BI tool.

Resources:

Snowflake Intelligence Artifacts

Artifacts for Snowflake Intelligence allow agents to produce, store, and reference structured outputs like reports, charts, and data summaries.

Documentation: https://docs.snowflake.com/en/user-guide/snowflake-cortex/snowflake-intelligence/artifacts

Snowflake Platform Updates

Budgets for AI Features (GA - Apr 10)

Use custom budgets to track and control credit consumption for AI features - AI Functions, Cortex Code, Cortex Agents, and Snowflake Intelligence - broken down by team or cost center. Tag users to a business unit and the budget tracks only their credits.

AI_SERVICES Billing Breakout (Apr 6)

More granular billing service types for AI Credits. Cortex Agents, Cortex Code CLI, Cortex Code Snowsight, and Snowflake Intelligence are now broken out of AI_SERVICES as separate SERVICE_TYPE values in metering views.

Medical and Health Data Classifiers (GA - Apr 3)

Native semantic classifiers for medical and health-related data are now GA. Covers ICD codes, lab terminology, medical conditions, procedures, and medication names aligned with HIPAA requirements.

Performance Explorer Granular Access Control (Apr 2)

Performance Explorer now applies granular access control aligned with your privileges on warehouses, databases, and Snowflake database roles. More users can access Performance Explorer while seeing only what their roles permit.

Snowpipe Streaming Error Logging (GA - Apr 8)

Error logging for Snowpipe Streaming is GA. Failed rows are captured in a dedicated error table with full original payloads and detailed error metadata instead of being silently dropped.

Resources:

DML Error Logging

Configure DML error logging for data load operations to capture failed rows for investigation.

Documentation: https://docs.snowflake.com/en/user-guide/data-load-overview#dml-error-logging

Cost Anomaly: Hourly Consumption by Service Type (Mar 12)

Investigate cost anomalies using hourly consumption broken down by service type - identify which services contribute to consumption spikes during each hour.

Resources:

Multi-Location Resilience for Data Pipelines (GA - Mar 12)

Safeguard data pipelines against region-wide outages. Snowpipe and COPY INTO resume processing in secondary locations with exactly-once semantics and zero-engineering overhead.

Manage External Volumes in Snowsight (GA - Mar 31)

Create, grant, verify, and drop external volumes for Iceberg tables directly from the Snowsight UI.

Git Integration Setup

Updated documentation for setting up Git repositories as Snowflake integrations for version-controlled workflows.

Documentation: https://docs.snowflake.com/en/developer-guide/git/git-setting-up

Network Egress IP Addresses

Reference documentation for network egress IP addresses used by Snowflake services.

Documentation: https://docs.snowflake.com/en/user-guide/egress-ip/network-egress

Startup Challenge Semi-Finalists 2026

Snowflake announces the 2026 Startup Challenge semi-finalists - innovative companies building on the Snowflake platform.

Apache Iceberg Updates

Iceberg Write Support for Unity Catalog on Azure (GA - Apr 6)

Write support for externally managed Iceberg tables on Databricks Unity Catalog is now GA for Azure storage, using Azure Data Lake Storage Gen2 external volumes.

The Battle for Compute: Unlocked by Iceberg v3 and Snowflake Interoperability

Engineering blog on how Iceberg v3 and Snowflake's interoperability capabilities are reshaping the compute landscape - enabling true engine choice on shared data.

Companion Code: https://github.com/sfc-gh-naveenalanthomas/iceberg-v3-snowflake-interoperability

Iceberg v3 Specification Support

Documentation for Snowflake's support of the Iceberg v3 table specification.

Documentation: https://docs.snowflake.com/en/user-guide/tables-iceberg-v3-specification-support

External Query Engine with Snowflake Horizon

Access Iceberg tables managed by Snowflake Horizon using external query engines (Spark, Trino, etc.).

Documentation: https://docs.snowflake.com/en/user-guide/tables-iceberg-access-using-external-query-engine-snowflake-horizon

DuckLake Demo

Demo project showcasing DuckLake - DuckDB's lakehouse format - alongside Iceberg patterns.

GitHub: https://github.com/jeff-skoldberg-gmds/ducklake-demo

Semantic Views & Intelligence

Exporting Semantic Views to Tableau TDS Files (Preview - Mar 5)

Export a semantic view to a Tableau Data Source (TDS) file using SYSTEM$EXPORT_TDS_FROM_SEMANTIC_VIEW, bridging Snowflake semantic models directly into Tableau workflows.

Snowflake Postgres

Postgres Logs to Observe

Guide for shipping Snowflake Postgres logs to observability platforms for monitoring and alerting.

Guide: https://www.snowflake.com/en/developers/guides/snowflake-postgres-logs-to-observe/

From the Community: Medium & Blogs

Article	Description
Cortex Code CLI Meets Slack	Connect Cortex Code to Slack for AI-powered data workflows in your team's comms
The Battle for Compute: Iceberg v3 + Snowflake	How Iceberg v3 reshapes engine choice on shared data
Prediction Markets at Warp Speed	Tim Spann on the SNACKAI-CoCo-PolyMarket architecture
Build Custom Subagents in Cortex Code (Part 3)	Advanced subagent delegation and multi-agent coordination
Giving Your Tableau Dashboard a Brain	Embed a Cortex Agent in Tableau in 4 steps
Taking Snowflake Cortex Code CLI for a Spin	Mechanical Rock's hands-on review of Cortex Code CLI

GitHub: Snowflake Labs & Community

Repository	Description
subagent-cortex-code	Reference implementations for building subagents in Cortex Code
tableau-cortex-agent-demo	Demo for embedding Cortex Agents in Tableau dashboards
iceberg-v3-snowflake-interoperability	Companion code for Iceberg v3 interoperability blog
snowflake-account-usage-dashboard	Pre-built dashboard for Snowflake account usage analytics
ducklake-demo	DuckLake demo project alongside Iceberg patterns
opendataloader-pdf	Open data loader for PDF document ingestion

MCP & Agent Tooling

Tool	Description
Agentic AI APIs	Collection of API patterns for building agentic AI applications
Graphify	Turn structured data into knowledge graphs for agent consumption
Floci	Flow-based orchestration for AI agent pipelines
Open Semantic Interchange (OSI)	Open standard for semantic data interchange between AI systems
OSI Discussions	Community discussion forum for the OSI standard

AI Research & Models

TerminalBench 2.0

TerminalBench 2.0 leaderboard for benchmarking AI coding agents in terminal environments.

Leaderboard: https://www.tbench.ai/leaderboard/terminal-bench/2.0

Reverse SynthID

Research tool for analyzing and understanding Google's SynthID watermarking in AI-generated content.

GitHub: https://github.com/aloshdenny/reverse-SynthID

Hyper-Extract

Hyper-Extract - hypergraph-based feature extraction for structured and relational data.

GitHub: https://github.com/yifanfeng97/Hyper-Extract

RecapAI

AI-powered summarization and recap tool for meetings, documents, and long-form content.

GitHub: https://github.com/RecapAI/Recap

Amazon S3 Files

AWS announces Amazon S3 Files - a new way to work with S3 objects as a mounted file system.

Developer Tools

Browsers, Crawlers & Automation

Tool	Description
Scrapling	Intelligent web scraping library with anti-detection capabilities
Camofox Browser	Privacy-focused browser with fingerprint camouflage
MarkItDown	Microsoft's tool for converting documents to clean markdown
JSON Render	Visual JSON rendering and exploration tool

Terminal, Shell & System

Tool	Description
rpg	Role-playing game for PostgreSQL - gamified database learning
Linux on Android	Run a full Linux environment on Android devices
VibeTracer	Application tracing and debugging visualization tool
AWS Doctor	Diagnostic tool for AWS infrastructure health checks
Happy Engineering	Resources and practices for engineering team happiness

ROI of Generative & Agentic AI

Snowflake published extensive research demonstrating the radical ROI organizations are seeing from generative and agentic AI implementations.

Resources:

Data Sharing & Open Table Formats

Snowflake's vision for data sharing with open table formats enables seamless data exchange while maintaining interoperability across engines and platforms.

SNACK-AI: The 2026 Pattern

As we look forward in 2026, SNACK-AI is the architectural pattern for powering AI applications at any scale - from mobile phones and robots to massive enterprise clusters.

SNACK-AI integrates:

Snowflake Platform
NiFi (Apache)
Apache Iceberg
Cortex AI (Agents/Search/MCP)
Kafka (Apache Kafka)

Deep Dive into SNACK-AI:

Read: SNACK-AI: The 2026 Pattern (Medium)
Code: Official SNACK-AI GitHub Repository
Weekly Context: SNACK-AI Overview

Thanks

https://sessionize.com/tspann

https://github.com/timothyspann

Generated with Cortex Code for All Data and AI Weekly - April 13, 2026

All Data and AI Weekly #236-06-April-2026

Timothy Spann — Mon, 06 Apr 2026 17:25:33 +0000

All Data and AI Weekly #236-06April2026

( AI, Data, Agentic AI, Cortex Code, NiFi, Iceberg, Polaris, Streamlit, Python, Java, SQL, MCP, LLM, RAG, Cortex AI, AISQL, Search, Unstructured Data )

Tim's Corner: An Easter Basket Full of Data Goodness

Happy Easter and Happy Passover! Welcome to issue 236! Just like an Easter egg hunt, this week is packed with hidden treasures waiting to be discovered across the Snowflake ecosystem. The engineering team cracked open a must-read on why you need a semantic model, the Agentic Enterprise Control Plane vision continues to hatch new ideas, and Ontology on Snowflake went from architecture to deployment with a dedicated Cortex Code skill. On the platform side, CTAS support for Unity Catalog external volumes landed, Snowflake Directory Imports are here, and the Network Policy Advisor gives you a new egg-shaped lens on your security posture. Meanwhile, the community has been busy - guides on migrating Tableau to Streamlit with AI, building production-ready dbt projects with Cortex Code, and deploying Gemma 4 multimodal on SPCS. I've been building new SNACK-AI projects including an OSINT toolkit and SnowGhostBreakers Advanced. Spring is here - let's dig into the basket!

Tim's Content

Happy Passover and Easter.

Recent Presentations

Beyond the Prompt: Future of AI Data Cloud - March 2026 - Slide deck
24 March 2026 Demo Notes - NYC Snowflake Users Group hands-on demo

New SNACK-AI Repositories

Repository	Description
SNACKAI-CoCo-UnstructuredDemos	End-to-end demos for processing unstructured data with Cortex Code and SNACK-AI, including a dev ports example
SNACKAI-CoCo-BeyondthePrompt	Companion repository for the Beyond the Prompt presentation on the future of AI in the Data Cloud
SNACKAI-CoCo-Snowghost2	Ghost-busting application v2 built with Cortex Code on Snowflake
SNACKAI-CoCo-SnowGhostBreakers-Advanced	Advanced ghost-busting analytics with enhanced detection and investigation workflows
SNACKAI-Cortex-Code-Cheatsheet	Quick-reference cheatsheet for Cortex Code commands, skills, and workflows
SNACKAI-CoCo-OSINT	Open-source intelligence toolkit built with Cortex Code and SNACK-AI

Upcoming Events: Catch Tim Live!

April 7: Snowflake Connect: AI Data Cloud - Virtual
April 9: The Agentic Enterprise: From Strategy to ROI - Virtual
April 13-17: D4BV - Virtual APAC
April 14: D4BNA - Virtual US
April 15: Nodes AI Conference - Virtual
April 22: Snowflake Connect: Building Transformation Pipelines for AI-Ready Data - Virtual
April 29: Tysons Corner Hands-On Lab: Automate Data Workflows with Cortex Code and Evolv - Tysons Corner, VA
May 20: Budapest Data and AI - Budapest, Hungary - Tim Virtual speaking
June 2-5: Snowflake Summit 2026 - San Francisco, CA - Join me, I will be speaking on NiFi and Agents.

All Snowflake Events: https://www.snowflake.com/about/events/

Snowflake Summit 2026 - San Francisco, June 2-5

Register now: https://www.snowflake.com/summit/

Featured: Why You Need a Semantic Model

The Snowflake engineering blog published a foundational piece on why every data team needs a semantic model. As AI agents and natural language interfaces become the primary way users interact with data, semantic models become the essential bridge between raw schemas and business meaning - ensuring metrics are consistent, queries are correct, and governance is maintained.

Cortex AI & Agents

The Agentic Enterprise Control Plane

Snowflake's vision for the Agentic Enterprise Control Plane - a unified layer for orchestrating, governing, and monitoring AI agents across the enterprise. Agents operate within defined guardrails, coordinated by a central control plane built on trusted data.

Ontology on Snowflake: From Architecture to Deployment

A comprehensive guide on building operational ontologies in Snowflake - graph reasoning without a graph database. Define canonical entities, relationships, and constraints, then deploy them with a dedicated Cortex Code skill for automated ontology stack generation.

Resources:

Batch Cortex Search

Batch Cortex Search is now in public preview. The CORTEX_SEARCH_BATCH table function enables high-throughput offline search for entity resolution, deduplication, and clustering workloads.

Resources:

Cortex AI Services Cost Analyzer

Open-source tool for analyzing and visualizing costs across Cortex AI services - search, agents, analyst, and AI functions.

GitHub: https://github.com/alexfrancisross/cortex-ai-services-cost-analyzer

Agents Observe

Framework for observing and monitoring AI agent behavior, tool usage, and performance in production.

GitHub: https://github.com/simple10/agents-observe

Cortex Code: Skills, Subagents & Community

Supercharge Cortex Code CLI: Skills, Subagents, Hooks, and MCP

A practical guide covering the full extensibility surface of Cortex Code CLI - custom skills, subagent delegation, lifecycle hooks, and MCP server integration.

Build Custom Skills in Snowflake Cortex Code CLI

Step-by-step guide to creating custom skills that extend Cortex Code's capabilities for your team's specific workflows.

Demystifying Snowflake Cortex Code (CoCo)

Comprehensive overview of Cortex Code's architecture, capabilities, and how it fits into data engineering workflows.

Build a Production-Ready dbt Project Using Cortex Code CLI

End-to-end walkthrough of building a production-grade dbt project entirely driven by Cortex Code CLI.

Cortex Code DCM + dbt Demo

Demo project showcasing Database Change Management (DCM) and dbt workflows orchestrated by Cortex Code.

GitHub: https://github.com/errahulka/snowflake-coco-dcm-dbt-demo

Agentic Migration Workshop Skill

Cortex Code skill for guiding database migrations to Snowflake from Oracle, Teradata, Redshift, and SQL Server.

GitHub: https://github.com/Snowflake-Solutions/cortex-code-skills/tree/main/skills/agentic-migration-workshop

Claude Skill for Cortex Code

Community-built skill integrating Claude capabilities into Cortex Code workflows.

GitHub: https://github.com/sfc-gh-tjia/claude_skill_cortexcode

Build with CoCo

Collection of examples and patterns for building applications with Cortex Code.

GitHub: https://github.com/vinodhini-sd/build-with-coco

How Agentic Engineering Changed the Way I Build Streamlit Apps

Streamlit blog on how agentic AI workflows are transforming the Streamlit development experience.

Snowflake Platform Updates

CTAS Support for Unity Catalog External Volumes (Mar 31)

CREATE TABLE AS SELECT (CTAS) is now supported for Iceberg tables backed by Unity Catalog external volumes, simplifying table creation workflows in multi-engine lakehouse environments.

Snowflake Directory Imports

Snowflake now supports directory imports, allowing you to import an entire directory of files as a module in Python stored procedures and UDFs.

Network Policy Advisor

New Network Policy Advisor helps you understand your network access patterns and build effective network policies with data-driven recommendations.

Documentation: https://docs.snowflake.com/en/user-guide/network-policy-advisor

RBAC Hardening Blueprint

Blueprint Manager template for hardening role-based access control (RBAC) configurations in Snowflake.

GitHub: https://github.com/Snowflake-Labs/blueprint-manager/tree/main/blueprints/rbac-hardening

Semantic Views & Intelligence

Why You Need a Semantic Model

The engineering blog's deep dive into why semantic models are essential - bridging raw data and business meaning, powering consistent metrics, and enabling trustworthy natural language queries.

Snowflake-Trino SQL Translator

Open-source SQL translator for converting between Snowflake and Trino SQL dialects - useful for multi-engine lakehouse environments.

GitHub: https://github.com/Angel-Asensio/snowflake-trino-translator

Streamlit

Migrate Tableau to Streamlit in Minutes Using AI

Guide on using prompt-driven AI to migrate Tableau dashboards to Streamlit applications in minutes rather than weeks.

Apache Iceberg & Open Lakehouse

Apache Data Lakehouse Weekly (Mar 16 - Apr 2)

Alex Merced's roundup of the latest across the Apache data lakehouse ecosystem - Iceberg, Polaris, and open table format developments.

Data Sharing & Open Table Formats

Snowflake's vision for data sharing with open table formats enables seamless data exchange while maintaining interoperability across engines and platforms.

Machine Learning & AI Guides

Defect Detection Using Distributed PyTorch with Snowflake Notebooks

Build a defect detection model using distributed PyTorch training directly in Snowflake Notebooks - no external infrastructure needed.

Guide: https://www.snowflake.com/en/developers/guides/defect-detection-using-distributed-pytorch-with-snowflake-notebooks/

Getting Started with Snowpipe Streaming on AWS MSK

Step-by-step guide for setting up Snowpipe Streaming with Amazon Managed Streaming for Apache Kafka (MSK).

Guide: https://www.snowflake.com/en/developers/guides/getting-started-with-snowpipe-streaming-aws-msk/

Deploying Gemma 4 Multimodal on Snowflake SPCS

Deploy Gemma 4 multimodal model on Snowpark Container Services for text and image inference using llama.cpp.

Gemma 4 on Ollama

Gemma 4 is now available on Ollama for local inference.

Run it: https://ollama.com/library/gemma4

Validating a Data Platform Migration with an AI Coding Agent

Real-world account of using an AI coding agent to validate a data platform migration - covering test generation, assertion patterns, and confidence building.

dbt LLM Evals

Framework from Paradime for evaluating LLM-generated dbt models - measuring correctness, efficiency, and style compliance.

GitHub: https://github.com/paradime-io/dbt-llm-evals

Snowflake Labs Repositories

Repository	Description
unified-data-stack-for-incident-management	Reference architecture for building a unified incident management data stack on Snowflake
MCP-HOL-BUILD-2025	Hands-on lab for building MCP integrations with Snowflake
blueprint-manager (RBAC Hardening)	RBAC hardening blueprint for Snowflake security best practices
sfquickstarts: Batch Cortex Search	Setup SQL for the Batch Cortex Search quickstart

From the Community: Medium & Blogs

Article	Description
Ontology on Snowflake: Architecture to Deployment	End-to-end guide for building and deploying ontology stacks on Snowflake with Cortex Code
Operational Ontologies in Snowflake	Graph reasoning without a graph database using Snowflake's semantic and relational layers
Migrate Tableau to Streamlit in Minutes	Use prompt-driven AI to convert Tableau dashboards into Streamlit apps
Snowflake Supports Directory Imports	Import entire directories as Python modules in stored procedures and UDFs
Batch Cortex Search: Hybrid Search for High-Throughput Workloads	Engineering deep dive into the batch search architecture
Build a Production-Ready dbt Project with Cortex Code	End-to-end production dbt project driven by Cortex Code CLI
Build Custom Skills in Cortex Code CLI	Step-by-step custom skill creation guide
Demystifying Snowflake Cortex Code	Comprehensive CoCo architecture and capabilities overview
Deploying Gemma 4 Multimodal on Snowflake SPCS	Text and image inference with llama.cpp on Snowpark Container Services
How Agentic Engineering Changed the Way I Build Streamlit Apps	How agentic AI is transforming Streamlit development
Validating a Data Platform Migration with an AI Coding Agent	Using AI agents for migration validation and testing
Supercharge Cortex Code CLI: Skills, Subagents, Hooks, and MCP	Practical guide to the full CoCo extensibility surface

MCP & Agent Tooling

Tool	Description
Coalesce MCP	MCP integration for the Coalesce data transformation platform
Sidemantic	Semantic search MCP server for local document collections
MCP HOL Build (Snowflake Labs)	Hands-on lab for building MCP integrations with Snowflake
AutoSkills	Auto-generate AI agent skills from documentation and examples
METATRON	Meta-agent framework for orchestrating specialized AI agents

AI Research & Models

Gemma 4 Multimodal

Google's Gemma 4 multimodal model is now available - handling both text and image understanding. Run it locally via Ollama or deploy on Snowflake SPCS.

Ollama: https://ollama.com/library/gemma4
Snowflake SPCS Deployment Guide: https://adrianleexinhan.medium.com/deploying-gemma-4-multimodal-on-snowflake-text-and-image-inference-with-llama-cpp-and-spcs-76eec0a6d444

Athena Core

Open-source AI agent core from Athena AI Lab for building research and reasoning agents.

GitHub: https://github.com/Athena-AI-Lab/athena-core

A-Evolve

Self-evolving AI agent framework from A-EVO Lab that learns and adapts from its own execution history.

GitHub: https://github.com/A-EVO-Lab/a-evolve

OpenClaude

Open-source Claude-compatible interface for running and testing AI agent workflows.

GitHub: https://github.com/Gitlawb/openclaude

Duck Lineage

Data lineage tracking for DuckDB pipelines - visualize how data flows through your transformations.

GitHub: https://github.com/ilum-cloud/duck_lineage/

PaddleOCR

Baidu's state-of-the-art OCR toolkit supporting 80+ languages with high accuracy.

GitHub: https://github.com/PADDLEPADDLE/PADDLEOCR

Developer Tools

Browsers, Automation & Productivity

Tool	Description
Post4U	Schedule and automate social media posts across platforms
OwnScribe	Self-hosted writing and note-taking application
OpenScreen	Open-source screen sharing and recording tool
World Monitor CopilotKit	Global monitoring dashboard built with CopilotKit
Happier	Developer happiness and productivity toolkit
OfficeCLI	Command-line interface for office productivity tools
Ste.gg	Modern personal website and portfolio builder

Code, Icons & Design

Tool	Description
Developer Icons	Curated collection of developer and technology brand icons
FlipOff	CLI tool for quick file and project scaffolding

Documents, Media & Data

Tool	Description
Exifa	EXIF metadata analyzer and viewer for images
PDFx	PDF extraction and processing tool
Podcats	Podcast cataloging and management tool
Video Explainer	AI-powered video analysis and explanation tool
Call.md	Markdown-formatted call transcription and notes
GhGrab	GitHub repository downloader and archiver

Security & OSINT

Tool	Description
Checkov	Static analysis for infrastructure-as-code security scanning (Terraform, CloudFormation, Kubernetes, etc.)
QGIS OSINT	OSINT plugin for QGIS geographic information system

Chat & Communication

Tool	Description
Atomic Chat	AI-powered chat application with multi-model support
Strix	Lightweight messaging and communication framework
Mick	Conversational AI assistant framework
Frosty	AI chatbot built with Snowflake integration
Wardrowbe	AI-powered wardrobe management and outfit recommendation
Bluesky Bot Tutorial	Official AT Protocol guide for building Bluesky bots

Health & Awareness

Sytse Sijbrandij (GitLab co-founder) shares his cancer journey - an important read on health awareness for the tech community.

Read more: https://sytse.com/cancer/

ROI of Generative & Agentic AI

Snowflake published extensive research demonstrating the radical ROI organizations are seeing from generative and agentic AI implementations.

Resources:

Data Sharing & Open Table Formats

Snowflake's vision for data sharing with open table formats enables seamless data exchange while maintaining interoperability across engines and platforms.

SNACK-AI: The 2026 Pattern

As we look forward in 2026, SNACK-AI is the architectural pattern for powering AI applications at any scale - from mobile phones and robots to massive enterprise clusters.

SNACK-AI integrates:

Snowflake Platform
NiFi (Apache)
Apache Iceberg
Cortex AI (Agents/Search/MCP)
Kafka (Apache Kafka)

Deep Dive into SNACK-AI:

Read: SNACK-AI: The 2026 Pattern (Medium)
Code: Official SNACK-AI GitHub Repository
Weekly Context: SNACK-AI Overview

Thanks

https://sessionize.com/tspann

https://github.com/timothyspann

Generated with Cortex Code for All Data and AI Weekly - April 6, 2026

All Data and AI Weekly #235-30March2026

Timothy Spann — Sun, 29 Mar 2026 15:29:48 +0000

All Data and AI Weekly #235-30March2026

( AI, Data, Agentic AI, Cortex Code, NiFi, Iceberg, Polaris, Streamlit, Python, Java, SQL, MCP, LLM, RAG, Cortex AI, AISQL, Search, Unstructured Data )

Tim's Corner: Cortex Code Everywhere

Welcome to issue 235! This week Snowflake made Cortex Code in Snowsight generally available and shipped native Windows CLI support, Agent Teams for multi-agent orchestration, and a wave of new agent skills. Batch Cortex Search entered public preview for high-throughput offline workloads, Agentic ML landed with Cortex Code for automating the full ML lifecycle, and the engineering team published a deep dive on solving the identifier mismatch problem in multi-engine lakehouses. On the community side, new guides cover dbt pipelines with Cortex Code, Snowflake Postgres migration via logical replication, and quantitative research with AI functions. I've been shipping new SNACK-AI projects all week - including an OSINT toolkit, a Cortex Code cheatsheet, and SnowGhostBreakers Advanced. Let's dive in!

Tim's Content

Recent Presentations

Beyond the Prompt: Future of AI Data Cloud - March 2026 - Slide deck
24 March 2026 Demo Notes - NYC Snowflake Users Group hands-on demo

New SNACK-AI Repositories

Repository	Description
SNACKAI-CoCo-UnstructuredDemos	End-to-end demos for processing unstructured data with Cortex Code and SNACK-AI, including a dev ports example
SNACKAI-CoCo-BeyondthePrompt	Companion repository for the Beyond the Prompt presentation on the future of AI in the Data Cloud
SNACKAI-CoCo-Snowghost2	Ghost-busting application v2 built with Cortex Code on Snowflake
SNACKAI-CoCo-SnowGhostBreakers-Advanced	Advanced ghost-busting analytics with enhanced detection and investigation workflows
SNACKAI-Cortex-Code-Cheatsheet	Quick-reference cheatsheet for Cortex Code commands, skills, and workflows
SNACKAI-CoCo-OSINT	Open-source intelligence toolkit built with Cortex Code and SNACK-AI

Upcoming Events: Catch Tim Live!

April 14: D4BNA - Virtual US
April 15: Nodes AI Conference - Virtual
April 13-17: D4BV - Virtual APAC
May 20: Budapest Data and AI - Budapest, Hungary - Tim Virtual speaking

All Snowflake Events: https://www.snowflake.com/about/events/

Featured: Cortex Code - Now More Widely Available and Ready for Bigger Tasks

Snowflake published a major update on Cortex Code this week with four key announcements: Cortex Code in Snowsight is now generally available, the CLI now supports native Windows environments, Agent Teams enable coordinated multi-agent orchestration for large tasks, and new agent skills standardize expert workflows for cost intelligence, ML, Streamlit, OpenFlow and more.

Key Highlights:

Persistent AI coding agent in Snowflake Workspaces and Notebooks
Agentic coding, discovery, administration and cost management in Snowsight
Agent Teams spin up parallel subagents with shared task lists and dependency management
New skills: cortex-code-guide, developing-with-streamlit, openflow, cost-intelligence, machine-learning, cortex-ai-functions

Cortex AI & Agents

The Agent Context Layer for Trustworthy Data Agents

Snowflake published a foundational blog on the Agent Context Layer - explaining why "talk to your data" is table stakes and why trustworthy agents need context spanning semantics, identity, constraints, policy and provenance. Internal experiments showed that augmenting agents with a plain-text data ontology improved accuracy by +20% and reduced tool calls by ~39%.

Agentic ML in Snowflake

Agentic ML through Cortex Code automates the path from data to predictive insights. Data science teams can build production-ready ML solutions from natural language prompts, with skills covering training, deployment, distributed training, hyperparameter tuning, and monitoring. First National Bank of Omaha reports 10x productivity gains.

Best Practices Guide: https://www.snowflake.com/en/developers/guides/agentic-machine-learning-best-practices-cortex-code/

Batch Cortex Search (Preview)

The CORTEX_SEARCH_BATCH table function is now in public preview. Submit batch queries to a Cortex Search service for offline use cases with high throughput requirements - entity resolution, deduplication, or clustering tasks. Batch search can also query services that are currently suspended.

Resources:

Cortex Code AI Function Studio Skill

New open-source skill for creating, evaluating, and optimizing custom AI functions using Snowflake Cortex AI Complete.

GitHub: https://github.com/Snowflake-Labs/cortex-ai-function-studio-skill

Cortex Code Skills Library

Community-contributed skills library by Kelly Kohlleffel with reusable Cortex Code skills for common workflows.

GitHub: https://github.com/kellykohlleffel/cortex-code-skills

Apache Iceberg Updates

Solving Identifier Mismatch in Multi-Engine Lakehouses

A deep engineering dive into the identifier case sensitivity problem in multi-engine lakehouses. When Spark, Trino, Flink, and Snowflake share the same Iceberg catalog, identifier normalization conventions clash. Snowflake's solution: database-level CATALOG_CASE_SENSITIVITY configuration for catalog-linked databases, supporting both Hadoop-style (case-insensitive) and ANSI SQL-style (case-sensitive) conventions.

Apache Iceberg from Zero

New comprehensive guide from Snowflake Labs for getting started with Apache Iceberg from scratch.

GitHub: https://github.com/Snowflake-Labs/apache-iceberg-from-zero

Snowflake Platform Updates

Release 10.10 (Mar 22-25)

Key updates in the latest Snowflake release:

Interval Data Types (Preview): New INTERVAL YEAR TO MONTH and INTERVAL DAY TO SECOND data types for duration calculations
Batch Cortex Search (Preview): High-throughput batch search via CORTEX_SEARCH_BATCH table function
Cortex Updates: See the full list of Cortex updates in the release notes

Full Release Notes: https://docs.snowflake.com/en/release-notes/2026/10_10

Dynamic Table SCHEDULER Attribute (GA - Mar 26)

New SCHEDULER attribute for dynamic tables lets you control whether automatic refresh is enabled or disabled. When SCHEDULER = DISABLE, the table can only be refreshed manually with ALTER DYNAMIC TABLE ... REFRESH - critical for external orchestrators like dbt that need to manage individual refreshes without triggering the entire pipeline.

Block Public Stage Access with IP Exceptions (GA - Mar 20)

Block public access to Azure internal stages while maintaining an allowlist of permitted IP addresses or CIDR blocks via SYSTEM$BLOCK_INTERNAL_STAGES_PUBLIC_ACCESS_WITH_EXCEPTION.

DML Error Logging for Tables

Configure DML error logging for data load operations, capturing failed rows for investigation instead of failing the entire load.

Documentation: https://docs.snowflake.com/en/user-guide/data-load-overview#configure-dml-error-logging-for-a-table

ANOMALY_INSIGHTS: Get Hourly Consumption by Service Type

New method for the ANOMALY_INSIGHTS class providing hourly consumption metrics broken down by service type.

Documentation: https://docs.snowflake.com/en/sql-reference/classes/anomaly-insights/methods/get_hourly_consumption_by_service_type

Snowflake Notebooks in Workspaces

Updated documentation for Notebooks in Workspaces - collaborative, interactive notebooks with container runtime for AI/ML production workflows.

Documentation: https://docs.snowflake.com/en/user-guide/ui-snowsight/notebooks-in-workspaces/notebooks-in-workspaces-overview

Notebook Project Objects (NPO): Run Python Scripts in Snowflake

A new schema-level object type that lets you deploy and run Python scripts non-interactively on a warehouse or compute pool. Write and test locally, deploy as a Notebook Project Object, then run on-demand or schedule with a Task. Supports CI/CD via Snowflake CLI.

Resources:

OpenFlow Updates

OpenFlow Connector for SQL Server

The OpenFlow Connector for SQL Server replicates data from SQL Server databases to Snowflake in near real-time or on schedule using SQL Server Change Tracking. Supports SQL Server 2016-2022, Azure SQL Database, Azure SQL Managed Instance, AWS RDS, and Google Cloud SQL.

Documentation: https://docs.snowflake.com/en/user-guide/data-integration/openflow/connectors/sql-server/about

From the Community: Medium & Blogs

Article	Description
Building dbt Pipelines with Snowflake Cortex Code	Hands-on guide to building dbt pipelines using Cortex Code as your AI pair programmer
How to Build a Governed Metric Registry on Snowflake	Building trusted KPIs for humans and AI with a governed metric registry
Open Trust Center Severities in Your Organization	Snowflake SQL guide for querying Trust Center severity findings across your organization
What is Cortex Code and Why Does It Matter?	phData's overview of Cortex Code's capabilities and impact on data engineering workflows
The Data Engineer's Cortex Code Cheat Sheet	Quick-reference cheat sheet for data engineers getting started with Cortex Code
Building an MCP Ecosystem at Pinterest	How Pinterest built an enterprise MCP ecosystem for AI agent integrations
Spartera + Snowflake Partnership	New technology partnership announcement between Spartera and Snowflake

Quickstarts & Guides

Guide	Description
Quantitative Research with AI Functions and Cortex Code	Build quantitative research workflows using Cortex AI functions and Cortex Code
Build Real-Time Fraud Detection Model with Natural Language	Build a fraud detection model using natural language prompts in Snowflake ML
Supply Chain Assistant with Snowflake Intelligence	Build a supply chain assistant powered by Snowflake Intelligence
Intro to Feature Store	Getting started with Snowflake's Feature Store for ML workflows
Migrate to Snowflake Postgres Using Logical Replication	Migration guide for moving PostgreSQL workloads to Snowflake Postgres
Powering AI-Ready Data Products with HL7 Data	Unpack complex HL7 healthcare data into AI-ready data products
Neo4j Fraud Detection on Snowflake	Graph-powered fraud detection with Neo4j and Snowflake
Neo4j Manufacturing on Snowflake	Graph analytics for manufacturing use cases with Neo4j and Snowflake
Neo4j Subways on Snowflake	Subway route analysis with Neo4j graph analytics on Snowflake
Route Optimisation & Vehicle Route Plan Simulator	Build a route optimization and vehicle route planning simulator
Cortex Code Cookbook: SiS Dashboard Deploy	Cookbook recipe for deploying Streamlit in Snowflake dashboards with Cortex Code
dbt + CoCo Demo	Demo project showing dbt development with Cortex Code

GitHub: Snowflake Labs

Repository	Description
apache-iceberg-from-zero	Comprehensive guide to getting started with Apache Iceberg on Snowflake
snowflake_dcm_projects	Database Change Management project examples and templates
cortex-ai-function-studio-skill	Cortex Code skill for building and evaluating custom AI functions
blueprint-manager	Blueprint management tool for Snowflake project templates
sfguide-powering-AI-Ready-Data-Products-by-unpacking-complex-HL7-data	Companion code for the HL7 healthcare data guide
postgres-full-day-training	Full-day training materials for Snowflake Postgres

Snowflake Postgres

Full-Day Training

Comprehensive training materials for getting started and going deep with Snowflake Postgres.

GitHub: https://github.com/Snowflake-Labs/postgres-full-day-training

BlueBox

Open-source toolkit for Snowflake Postgres workflows and utilities.

GitHub: https://github.com/ryanbooz/bluebox

Data Trends & Resources

Data Trends 2026: Financial Services

Snowflake's report on key data and AI trends shaping the financial services industry in 2026.

AI Futures Model

Interactive resource exploring trajectories and scenarios for AI development.

Read more: https://www.aifuturesmodel.com/

How to Enable Tracing and Logging in Power BI Desktop

Community guide for configuring tracing and logging in Microsoft Power BI Desktop with Snowflake connections.

Security

How to Secure Agentic AI: Agent Identity Protocol (AIP)

All Things Open article on securing agentic AI with the Agent Identity Protocol - a framework for establishing trust and identity for AI agents.

Go Implementation: https://github.com/openagentidentityprotocol/aip-go

TeamPCP Supply Chain Attack on LiteLLM

Wiz research on the TeamPCP campaign trojanizing LiteLLM - critical reading for anyone running open-source AI inference proxies.

MCP & Agent Tooling

Tool	Description
Agent Browser (Vercel Labs)	Browser automation framework designed for AI agents from Vercel Labs
Agent Skill Creator	Framework for creating reusable skills for AI agents
x1xhlol/system-prompts-and-models-of-ai-tools	Collection of system prompts and model configurations from various AI tools

AI Research & Models

Cohere Transcribe

Cohere Transcribe 03-2026 - new speech-to-text model from Cohere Labs.

HuggingFace: https://huggingface.co/CohereLabs/cohere-transcribe-03-2026

MolmoWeb by Allen AI

MolmoWeb - multimodal language model interface from the Allen Institute for AI.

Read more: https://allenai.org/blog/molmoweb

Deer Flow by ByteDance

Deer Flow - agent workflow framework from ByteDance for building complex multi-step AI applications.

GitHub: https://github.com/bytedance/deer-flow

Meetily

Open-source AI meeting assistant for transcription, summarization, and action items.

GitHub: https://github.com/Zackriya-Solutions/meetily

Developer Tools

Terminal & Shell

Tool	Description
lnav	Advanced log file navigator for the terminal
cliamp	CLI audio/media player

Data Visualization & Infrastructure

Tool	Description
Terravision	Automated infrastructure visualization from Terraform files
MiniStack	Minimal cloud infrastructure stack for development

Documents & Screenshots

Tool	Description
ProofShot	Screenshot verification and proof-of-work tool
RevPDF	PDF reverse engineering and extraction tool

Frameworks & Libraries

Tool	Description
Yggdrasil	Event sourcing and CQRS framework
Keploy	API testing platform that auto-generates test cases from API calls
VoidLLM	Lightweight LLM inference engine

ROI of Generative & Agentic AI

Snowflake published extensive research demonstrating the radical ROI organizations are seeing from generative and agentic AI implementations.

Resources:

Data Sharing & Open Table Formats

Snowflake's vision for data sharing with open table formats enables seamless data exchange while maintaining interoperability across engines and platforms.

SNACK-AI: The 2026 Pattern

As we look forward in 2026, SNACK-AI is the architectural pattern for powering AI applications at any scale - from mobile phones and robots to massive enterprise clusters.

SNACK-AI integrates:

Snowflake Platform
NiFi (Apache)
Apache Iceberg
Cortex AI (Agents/Search/MCP)
Kafka (Apache Kafka)

Deep Dive into SNACK-AI:

Read: SNACK-AI: The 2026 Pattern (Medium)
Code: Official SNACK-AI GitHub Repository
Weekly Context: SNACK-AI Overview

Thanks

https://sessionize.com/tspann

https://github.com/timothyspann

Generated with Cortex Code for All Data and AI Weekly - March 30, 2026

All Data and AI Weekly #234 - 23 March 2026

Timothy Spann — Sat, 21 Mar 2026 20:18:18 +0000

All Data and AI Weekly #234 - 23 March 2026

( AI, Data, Agentic AI, Cortex Code, NiFi, Iceberg, Polaris, Streamlit, Python, Java, SQL, MCP, LLM, RAG, Cortex AI, AISQL, Search, Unstructured Data )

The Agentic Enterprise Takes Shape

Welcome to issue 234! This is a landmark week for the Snowflake ecosystem. Snowflake officially unveiled Cortex Code to the world with a major press release, the Agentic Enterprise Control Plane vision dropped, Cortex Agent Evaluations are now documented, and DCM Projects bring infrastructure-as-code to Snowflake. On the Iceberg front, bidirectional interoperability with Horizon Catalog is here, plus Azure Data Lake Storage support for external volumes. I've been shipping new SNACK-AI projects all week - including a Situation Desk, OpenFlow Python Processors, and a DJ app built entirely in Cortex Code. Tomorrow I'll be at the NYC Snowflake Users Group for a hands-on workshop. Let's dive in!

New SNACK-AI Repositories

Repository	Description
SNACKAI-CoCo-situation-desk	A real-time situation awareness desk built with SNACK-AI and Cortex Code, providing unified monitoring dashboards for streaming data events, alerts, and operational intelligence
SNACKAI-OpenFlow-Python-Processors	Custom Python processors for Snowflake OpenFlow, enabling data transformation, enrichment, and routing logic within OpenFlow pipelines using Python
SNACKAI-CoCo-Quick	Quick-start templates and utilities for bootstrapping SNACK-AI projects with Cortex Code, get up and running fast
Semantic Layer Quality Scoring Framework	A comprehensive framework for scoring and evaluating the quality of your Snowflake semantic layer - covering completeness, consistency, and accuracy metrics
SNACKAI-CoCo-DJ-Snowflake	A DJ and music application built entirely with Cortex Code on Snowflake, showcasing creative AI-powered app development
SNACKAI-CoCo-MarkdownBrowser	A markdown-based browser built with Cortex Code, enabling rich document rendering and navigation within the SNACK-AI ecosystem

Video

SNACK-AI Demo Walkthrough - Tim walks through the latest SNACK-AI architecture and demos

Upcoming Events: Catch Tim Live!

March 24: NYC Snowflake Users Group - NYC Hands on Workshop
April 14: D4BNA - Virtual US
April 15: Nodes AI Conference - Virtual
April 13-17: D4BV - Virtual APAC
May 20: Budapest Data and AI - Budapest, Hungary - Tim Virtual speaking

All Snowflake Events: https://www.snowflake.com/about/events/

Snowflake Virtual Hands-On Labs

Get hands-on with Snowflake in these upcoming free workshops:

Date	Lab	Link
Mar 18	Agent to OpenFlow: End-to-End Unstructured Data Insights	Register
Mar 18	Zero to Snowflake in 90 Minutes	Register
Mar 24	From Prompt to Production: Real-Time Fraud Detection	Register
Mar 25	Build Faster with Cortex Code AI	Register
Mar 25	Getting Started with Snowpark on Iceberg	Register
Apr 1	Cortex Code: Your AI Coding Assistant in Snowsight	Register

Browse all labs: https://www.snowflake.com/en/webinars/virtual-hands-on-lab/?tags=region%2Famericas&page=1&pageSize=6&offset=6

Major Announcement: Snowflake Unveils Cortex Code

Snowflake officially announced Cortex Code - an AI coding agent that drastically increases developer productivity by understanding your enterprise data context. This is a major milestone: an AI assistant that doesn't just write code, but understands your Snowflake environment, your data, your semantic layers, and your governance policies.

Key Highlights:

AI coding agent native to Snowflake
Deep understanding of enterprise data context
Integrated with Snowsight and CLI
Custom skills and extensibility support
Governance-aware code generation

Press Release: https://www.snowflake.com/en/news/press-releases/snowflake-unveils-cortex-code-an-ai-coding-agent-that-drastically-increases-productivity-by-understanding-your-enterprise-data-context/

Featured: The Agentic Enterprise Control Plane

Snowflake published a vision piece on the Agentic Enterprise Control Plane - a unified layer for orchestrating, governing, and monitoring AI agents across the enterprise. This is where enterprise AI is heading: agents that operate within defined guardrails, coordinated by a central control plane built on trusted data.

Key Concepts:

Centralized agent orchestration
Policy-driven governance for AI agents
Observability and audit trails
Integration with existing data infrastructure

Cortex AI & Agents

Cortex Agent Evaluations

The Snowflake engineering team published a comprehensive guide on evaluating Cortex Agents - covering metrics, benchmarks, and systematic approaches to measuring agent reliability and accuracy. Critical reading for anyone deploying agents in production.

Resources:

Cortex Code Governance Skills

New engineering blog on building governance-aware skills for Cortex Code. These skills understand your data policies, masking rules, and access controls, ensuring AI-generated code respects your security posture.

Cortex Code in Snowsight (Preview - Mar 12)

Cortex Code AI Suggestions are now available in Preview directly within Snowsight, bringing intelligent code completion and AI assistance to the web IDE.

Documentation:

Cortex Agents Documentation

Updated comprehensive documentation for building, deploying, and managing Cortex Agents.

Documentation: https://docs.snowflake.com/en/user-guide/snowflake-cortex/cortex-agents

Snowflake Intelligence Artifacts (Mar 19)

New Artifacts feature for Snowflake Intelligence allows agents to produce, store, and reference structured outputs like reports, charts, and data summaries.

Documentation:

Classification ML Function - Predict Method

Updated documentation for the Classification predict method, with new examples for applying trained classification models to new data.

Documentation:

Cortex Code Best Practices

The definitive guide to getting the most out of Cortex Code CLI - covering data exploration, code generation, skill development, and workflow optimization.

Apache Iceberg Updates

Bidirectional Interoperability with Horizon Catalog

Major engineering blog on bidirectional interoperability between Apache Iceberg and the Snowflake Horizon Catalog. Read and write Iceberg tables from Snowflake while external engines (Spark, Trino, etc.) simultaneously access the same data.

External Query Engine with Horizon Writes (Mar 16)

New feature allowing external query engines to write to Iceberg tables managed by Snowflake Horizon.

Azure Data Lake Storage External Volumes (Mar 20)

Support for Azure Data Lake Storage as external volumes for Iceberg tables, expanding multi-cloud options.

Documentation:

DCM Projects: Infrastructure-as-Code for Snowflake

Database Change Management (DCM) Projects bring declarative, version-controlled infrastructure management to Snowflake. Define your databases, schemas, tables, and roles in code and deploy them reproducibly.

Key Features:

Declarative resource definitions
Version-controlled database changes
Reproducible deployments
CI/CD integration

Documentation:

Snowflake Platform Updates

Release 10.9 - TSS History View (GA)

The TSS_HISTORY account usage view is now Generally Available, providing historical data on Tri-Secret Secure configurations.

OpenFlow BigQuery Connector (Preview - Mar 17)

The OpenFlow connector for BigQuery enters Public Preview, enabling CDC from Google BigQuery into Snowflake.

User-Defined Data Types

New support for user-defined data types in Snowflake SQL, enabling custom type definitions for stronger data modeling.

Documentation: https://docs.snowflake.com/en/sql-reference/data-types-user-defined

Listing Access History

New listing access history view for tracking who accessed shared data listings and when.

Documentation: https://docs.snowflake.com/en/sql-reference/data-sharing-usage/listing-access-history

Listings BCDR

Business Continuity and Disaster Recovery documentation for Snowflake Marketplace listings.

Documentation: https://docs.snowflake.com/en/collaboration/listings-bcdr

Alerts UI (Limited Access)

New Alerts UI for managing and monitoring Snowflake alerts visually.

Documentation: https://docs.snowflake.com/en/LIMITEDACCESS/alerts-ui

Snowflake Notebooks

Updated product page for Snowflake Notebooks - collaborative, interactive notebooks natively in Snowflake.

Snowflake Postgres High Availability

Documentation on high availability for Snowflake Postgres deployments.

Documentation: https://docs.snowflake.com/en/user-guide/snowflake-postgres/high-availability

Project Snowwork: AI for Business Users

Project Snowwork aims to bring AI capabilities directly to business users - no coding required. Build intelligent workflows, automate routine tasks, and get AI-powered insights from natural language.

Snowflake Open Source

Arctic Training

Open-source training framework for Arctic language models from Snowflake.

GitHub: https://github.com/snowflakedb/ArcticTraining

Arctic Inference

Optimized inference engine for Arctic models with high-throughput serving.

GitHub: https://github.com/snowflakedb/ArcticInference

Snowflake Telemetry Python

Python SDK for Snowflake telemetry - instrument your applications with traces and metrics.

GitHub: https://github.com/snowflakedb/snowflake-telemetry-python

SSv2 AI Webinar

End-to-end demo for Snowpipe Streaming V2 with AI, including live dashboards and Cortex Agent integration.

GitHub: https://github.com/sfc-gh-chathomas/SSv2-AI-Webinar

CoCo Skills Library

Community-contributed Cortex Code skills library with reusable skills for common workflows.

GitHub: https://github.com/vinodhini-sd/coco-skills-library

From the Community: Medium & Blogs

Deep Technical Looks at Cortex Code

Article	Author	Description
A Deep Technical Look at Cortex Code from a Snowflake Architect's Perspective	Cadarsh Hegde	Comprehensive architectural analysis of Cortex Code internals, extensibility model, and integration patterns from an architect's viewpoint
Meet Your New Teammate: A Deep Dive into Snowflake Cortex Code	Abhishek Mittal	Getting started guide exploring Cortex Code as an AI pair programmer for Snowflake development
Cortex Code Decoded: Teach Your Agent New Tricks with Custom Skills	Maseed Ilyas	Step-by-step tutorial on building custom skills to extend Cortex Code capabilities

Architecture & Strategy

Article	Author	Description
From Self-Service BI to Autonomous Intelligence	Snowflake	Architectural blueprint for evolving from traditional BI to autonomous, AI-driven intelligence platforms
Architecting Multi-Agent Workflows with Snowflake Cortex	Snowflake	Design patterns for orchestrating multiple AI agents in Cortex, covering coordination, state management, and error handling
From Legacy BI to an Intelligence Layer	Snowflake	Lessons learned from Snowflake's own BI migration journey to an AI-powered intelligence layer

External Blogs

Article	Description
NanoCortex Blueprint: Snowflake Cortex Agents	Minimal, clean blueprint for building Cortex Agents with a focus on simplicity and reproducibility
Snowflake Cortex Proxy for AI Coding Agents	How to set up a Cortex inference proxy so external AI coding agents can use Snowflake's LLM endpoints
Markdown as Agentic UI	Using markdown as a universal interface for building agentic user experiences
Agent-Native Design	Guide to designing applications that are built from the ground up for AI agent interaction
How Booking.com Uses AI and Data	How Booking.com creates connected customer trip experiences using AI and data at scale

Semantic Views: Why We Need Them

The Snowflake engineering blog published a foundational article on why semantic views matter - bridging the gap between raw data and business meaning, enabling consistent metrics across tools, and powering natural language queries.

dbt Labs Updates

ADE-Bench: Data Engineering Benchmarking

The Analytics Data Engineering Benchmark (ADE-Bench) from dbt Labs provides standardized benchmarks for evaluating AI-assisted data engineering. Measures how well AI agents can write correct, efficient dbt models.

Resources:

Videos

Title	Description	Link
SNACK-AI Demo Walkthrough	Tim walks through the latest SNACK-AI architecture	Watch
Cortex Agent Evaluations	Deep dive into evaluating Cortex Agents	Watch
Snowflake AI & Data Engineering	Snowflake AI workflows and data pipelines	Watch
Building with Cortex Code	Hands-on Cortex Code development session	Watch
Agentic AI Patterns	Patterns for building AI agent systems	Watch
Data Pipeline Architecture	Modern data pipeline design	Watch
Snowflake Intelligence Deep Dive	End-to-end Snowflake Intelligence walkthrough	Watch
SNACK-AI Architecture	SNACK-AI architectural patterns explained	Watch
Cortex Code Skills	Building custom skills for Cortex Code	Watch
Real-Time Data with OpenFlow	OpenFlow for real-time ingestion	Watch
Iceberg on Snowflake	Apache Iceberg integration patterns	Watch

MCP & Agent Tooling

Tool	Description
Snowflake Cortex Inference Proxy	Proxy server that lets external AI coding agents use Snowflake Cortex LLM endpoints with policy controls and prompt management
MCP-MAT	MCP management and testing toolkit for developing and debugging MCP integrations
Meshtastic MCP	MCP server for Meshtastic mesh networking devices, enabling AI agents to communicate over LoRa
Coalesce MCP	MCP integration for Coalesce data transformation platform
iMCP	iOS/macOS MCP client for running Model Context Protocol servers on Apple devices
Ask Search	MCP-compatible search tool for AI agent web search

AI Research & Models

LumberChunker: Document Segmentation

Carnegie Mellon published research on LumberChunker - an intelligent approach to segmenting long-form narrative documents for RAG pipelines. Beats naive chunking strategies significantly.

Mistral Small 4

Mistral Small 4 released - the latest compact model from Mistral AI with improved reasoning and instruction following.

MiniMax M2.7

MiniMax M2.7 is now available on Ollama - a compact but capable model for local inference.

Run it: https://ollama.com/library/minimax-m2.7

Open SWE by LangChain

Open SWE from LangChain - an open-source software engineering agent framework for autonomous code editing and debugging.

GitHub: https://github.com/langchain-ai/open-swe

AutoResearchClaw

AI-powered automated research assistant that can search, read, and synthesize academic papers.

GitHub: https://github.com/aiming-lab/AutoResearchClaw

Agent Safehouse

Secure sandbox environment for testing and developing AI agents without risk to production systems.

Website: https://agent-safehouse.dev/

DiMOS

Dimensional OS - an operating system abstraction for building multi-modal AI agent systems.

GitHub: https://github.com/dimensionalOS/dimos

Developer Tools

Browsers, Crawlers & Headless

Tool	Description
Lightpanda Browser	Lightweight, fast headless browser purpose-built for AI agents and web automation
HeadlessX	Advanced headless browser automation framework for scraping and testing
SiteFetch	Turn any website into LLM-ready text with a single command

Terminal & Shell

Tool	Description
Ghostty	Fast, feature-rich terminal emulator built for modern workflows
NVIDIA OpenShell	NVIDIA's open-source shell environment for GPU-accelerated workflows
Open Terminal	Terminal emulator from the Open WebUI team, designed for AI-powered interactions
Tmux Guide	Comprehensive visual guide to tmux terminal multiplexer
MPP.dev	Modern process and project management from the terminal

Code, Search & Productivity

Tool	Description
TinyCode	Minimal, fast code editor for quick edits
QMD	Quick markdown processing and rendering utilities
Kanban Todo	Simple kanban board in the terminal for task management
OpenCode	Open-source AI coding assistant
Goal-MD	Goal-oriented markdown for structured project planning

Audio & Voice

Tool	Description
NeuTTS	Neural text-to-speech engine with natural voice synthesis
Audiblez	Convert text documents into audiobooks with AI voices
VoiceTag	Voice-based tagging and annotation system
KittenTTS	Lightweight text-to-speech library

PDF & Documents

Tool	Description
TinyPDF	Lightweight, fast PDF processing library

Networking & Infrastructure

Tool	Description
Rustunnel	Fast, secure tunneling written in Rust
Project Nomad	Self-hosted infrastructure and networking toolkit
Cockpit	Web-based server management interface
Mailrise	SMTP gateway for push notifications
Apprise	Universal push notification library supporting 100+ services

Security & OSINT

Tool	Description
Sn1per	Automated penetration testing reconnaissance scanner
Awesome OSINT for Everything	Curated collection of OSINT tools and resources
Shadow Fleet Tracker	Open-source maritime vessel tracking and analysis
RedGridLink	Tactical communication and coordination tool

Data & Search

Tool	Description
Sonar	Semantic search engine for local documents
Hacker News Dataset	Complete Hacker News dataset on HuggingFace for analysis and training
Brave Search API	Privacy-respecting search API for building AI applications
PURL.dev	Package URL specification for universal software package identification

Design

Tool	Description
Stitch Design MD	Google's markdown-based design system documentation framework

ROI of Generative & Agentic AI

Snowflake published extensive research demonstrating the radical ROI organizations are seeing from generative and agentic AI implementations.

Resources:

Data Sharing & Open Table Formats

Snowflake's vision for data sharing with open table formats enables seamless data exchange while maintaining interoperability across engines and platforms.

SNACK-AI: The 2026 Pattern

As we look forward in 2026, SNACK-AI is the architectural pattern for powering AI applications at any scale - from mobile phones and robots to massive enterprise clusters.

SNACK-AI integrates:

Snowflake Platform
NiFi (Apache)
Apache Iceberg
Cortex AI (Agents/Search/MCP)
Kafka (Apache Kafka)

Deep Dive into SNACK-AI:

Read: SNACK-AI: The 2026 Pattern (Medium)
Code: Official SNACK-AI GitHub Repository
Weekly Context: SNACK-AI Overview

Thanks

https://sessionize.com/tspann

https://github.com/timothyspann

Generated with Cortex Code for All Data and AI Weekly - March 23, 2026