DEV Community

Cover image for Recap: Microsoft Build AI Day Switzerland 2024
Arindam Mitra
Arindam Mitra

Posted on • Updated on

Recap: Microsoft Build AI Day Switzerland 2024

Greetings my fellow Technology Advocates and Specialists.

This is Chapter #1 of my Data & AI Series which I started with Microsoft Build AI Day, Switzerland, 2024.

In this Session, I will provide readers a Recap of Microsoft Build AI Day, Switzerland 2024.

Conference Date and Time:-
7th May 2024, 9:00 am - 5:30 pm
Agenda:-
Image description
CODE REPOSITORY:-

Data And AI with Azure - All in One:-

Greetings to my fellow Technology Advocates and Specialists.

The Objective of this series is to learn as much as possible on Data and AI and in the process help others.

DATE TOPICS CONTENT
09.05.2024 Recap: Microsoft Build AI Day Switzerland 2024 https://dev.to/arindam0310018/recap-microsoft-build-ai-day-switzerland-2024-2b62
12.05.2024 Microsoft OpenAI Architecture https://dev.to/arindam0310018/microsoft-openai-architecture-2i35
12.05.2024 - -
12.05.2024 - -
12.05.2024 Microsoft OpenAI: Errors I Learned -



Remarks during the Key Note which made an impression:-
1.) Why hire people if you don’t give them AI assistant ?
2.) Collaborate more inclusively.
3.) Microsoft’s Core Area is - Developer’s Productivity.
4.) No system is intelligent than the data on which it is reasoned.
5.) No AI Transformation is complete without security.
6.) AI is creating more static fear rather than Kinetic moving fear.
7.) Spending time on data is the best time we can invest.
8.) AI with unstructured data is till a challenge.
Take a Pic and Swag Time:-
It was wonderful to attend AI Day in Zurich, Switzerland. Met colleagues (Past and Present) - Mathias, Gabor, and Jose and made new contacts - Amandeep and Jan.
Image description
Image description
AI Transformation - Opportunities and Approach:-
Opportunities:-
1. Enrich employee experiences.
2. Reinvent Customer Engagement.
3. Reshape Business Process.
4. Bend the Curve on Innovation.
Approach:-
1. Copilot Empowerment.
2. Open Copilot System.
3. Your AI differentiation.

Below follows the table displaying Solution Area; AI Innovation; and Availability Status:-

Solution Area AI Innovation Availability Status
Modern Work Copilot for M365 Available
Business Applications Copilot Studio; Copilot for Sales; Copilot for Service; Copilot for Finance All Available, except Copilot for Finance which is in Public Preview (Available in May).
Digital & App Innovation Github Copilot Available
Data and AI Azure OpenAI Service; Copilot in Fabric which is in Public Preview (Available in May). Available (GPT 3.5, GPT 4, DALL-E 3, Codex); Public Preview (GPT 4 Turbo, GPT 4 with Vision, Dall-E 2)
Security Copilot for Security Available
MICROSOFT AI PORTFOLIO:-
Image description
MOST IMPORTANT TO NOTE:-
Image description
LITTLE REFRESH OF CONCEPTS DOES NOT HURT:-
I captured snapshots of the concepts which was presented in a very precise manner. This provides a quick refresh. So here, you go:-
Definition of OpenAI:-
Image description
Azure OpenAI: Models and Deployments:-
Image description
Concept: RAG (Retrieval Augmented Generation):-
Image description
Concept and Use cases: Vector Embeddings:-
Image description
LLM Based Application Lifecycle:-
Image description
Prompt Flow Components:-
Image description
SESSIONS I ATTENDED:-
There were several interesting sessions which I wanted to attend but as they were in parallel, So I attended the below:-
1. Building AI Applications using Azure Cosmos DB and Azure Database for PostgreSQL Flex.
2. Building Enterprise Landing Zones for AI Apps._
3. Advanced AI Apps Patterns.
4. Securing Generative AI Application.
TAKE AWAYS FROM THE SESSIONS ATTENDED:-
Reference Architecture Diagram: Building AI Applications using Azure Cosmos DB and Azure Database for PostgreSQL Flex:-
Image description
Azure Database for PostgreSQL is AI Ready for Enterprise Applications.
Image description
Image description
Reference Architecture Diagram: Building Enterprise Landing Zones for AI Apps:-
Image description
Reference Architecture Diagram: Advanced AI Patterns:-
Image description

These were the few highlights of the conference and indeed a good learning for technology enthusiast.

Hope You Enjoyed the Session!!!

Stay Safe | Keep Learning | Spread Knowledge

Top comments (0)