🌟 Industry Side Chat: MongoDB Flexible Database Schema, Time Series, Atlas Vector Search RAG🌟

Use Case 1: Healthy Lifestyle Platform 💪

Cure.fit:

• Handle spikes in traffic 📈
• Delivering unique content based on user's regions 🌍
• Personalized experience on pages (merchandising) 🛒

Challenge:

• Capture different data across user segments 📊
• Personalized content 🎯
• Three-layer architecture:
  • Backend: MongoDB Atlas 🗃️
  • Middle: API layer 🌐
  • Front: Microservices 🧱

Solution:

• MongoDB Flexible Database Schema 🔍
• Capture a wide range of data (web forms, tracking customer usage) 📈
• Organize diverse data 🗂️

MongoDB Features:

• Cross-region replication 🌍
• ACID transactions 🔒
• Read-heavy workloads amongst different nodes 💻
• Transactions across multiple collections 🔗
• https://www.mongodb.com/solutions/customer-case-studies/curefit 🔗

Use Case 2: Turn Asset Data into Value 💰

Digitread Connect: Industrial IoT-as-a-Service 🌐

Challenge 1:

• Data from sensors across industry verticals, machinery, industrial assets 🤖
• Analysis process 🔍
• Client end-users: engineers, service technicians, surveyors, farmers 👨‍🔧

Challenge 2:

• Collecting data to useful deliverable 📊
• Extract data from microcontrollers or programmable logic controllers 🔌
• Analyze data, necessary data to cloud 💻
• IoT platform, edge & application side 🌐

Solution: MongoDB Time Series Data:

• Industrial mechanized, robotic environments 🤖
• Track equipment activity, performance 📈
• Analyzed and filtered, only keep useful data, upload to relevant application 💾

Use Case 3: Ideal Customer Profiles (ICP) 🎯

Scalestack:

• Connect go-to-market (GTM) data to customers' Ideal Customer Profiles (ICP) 🤝

Challenge:

• Sales engineers waste time reconciling data 💻

Solution:

• MongoDB Atlas Vector Search 🔍
• Retrieval-Augmented Generation (RAG) 🤖
• Searches over large datasets using vector similarity 🧠
• Aggregate, manage, and automate disparate GTM (go to market) data sets 📊
• Aggregate and understand a variety of data from different sources 🗃️
• Help sales to create scenario-specific strategies 🧠

Details:

• Connect LinkedIn, Crunchbase, Zoominfo, job postings 🌐
• Connect customer info, company facts, news, and job openings 📋
• Connect lead generation forms 📝
• Create personalized suggestion, prioritized actions for user to boost sales 💰

Reference:

capture and analyze data on edge device
https://www.mongodb.com/solutions/customer-case-studies/digitread-connect

Atlas Vector Search, Amazon Bedrock
https://www.mongodb.com/solutions/customer-case-studies/scalestack

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Editor

Danny Chan, specialty of FSI and Serverless

Kenny Chan, specialty of FSI and Machine Learning