Recap: Microsoft Build AI Day Switzerland 2024
Tags: azure, ai, learning, community
Published: 2024-05-09 08:59:37

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](https://dev-to-uploads.s3.amazonaws.com/uploads/articles/mk6hfy49oghbmk31gg13.jpeg) |

| __CODE REPOSITORY:-__ |
| --------- |

{% github arindam0310018/09-May-2024-Data-And-AI__All-In-One %} 

| __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](https://dev-to-uploads.s3.amazonaws.com/uploads/articles/58x05t346dc9cw1ojknp.jpeg) | 
| ![Image description](https://dev-to-uploads.s3.amazonaws.com/uploads/articles/2mzex6idw2t3e3swd85f.jpeg) | 

| __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](https://dev-to-uploads.s3.amazonaws.com/uploads/articles/12ecyvugi2lf0k4xf1ws.jpg) |

| __MOST IMPORTANT TO NOTE:-__ |
| --------- |
| ![Image description](https://dev-to-uploads.s3.amazonaws.com/uploads/articles/pbkyrkhdun84so9x8p45.jpg) |

| __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](https://dev-to-uploads.s3.amazonaws.com/uploads/articles/lzwtnep92g8e2r8svb5r.jpg) |
| __Azure OpenAI: Models and Deployments:-__ |
| ![Image description](https://dev-to-uploads.s3.amazonaws.com/uploads/articles/lv38sbhl44a8wyj8s1cd.jpg) |
| __Concept: RAG (Retrieval Augmented Generation):-__ |
| ![Image description](https://dev-to-uploads.s3.amazonaws.com/uploads/articles/18pjkr372mvxmo1j9gd0.png) |
| __Concept and Use cases: Vector Embeddings:-__ |
| ![Image description](https://dev-to-uploads.s3.amazonaws.com/uploads/articles/3tmcn2n00ozavkdj99kd.png) |
| __LLM Based Application Lifecycle:-__ |
| ![Image description](https://dev-to-uploads.s3.amazonaws.com/uploads/articles/890hjndt47b67kg0eip7.jpg) |
| __Prompt Flow Components:-__ |
| ![Image description](https://dev-to-uploads.s3.amazonaws.com/uploads/articles/ssn111f0j2io54vv1uge.jpg) |

| __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](https://dev-to-uploads.s3.amazonaws.com/uploads/articles/3v9wav6qm48aje15v612.jpeg) |
| __Azure Database for PostgreSQL is AI Ready for Enterprise Applications.__ |
| ![Image description](https://dev-to-uploads.s3.amazonaws.com/uploads/articles/41sqdt5oek3w2viawg1e.jpeg) |
| ![Image description](https://dev-to-uploads.s3.amazonaws.com/uploads/articles/5nwoi3s141b2qgu6locg.jpeg) |
| __Reference Architecture Diagram: Building Enterprise Landing Zones for AI Apps:-__ |
| ![Image description](https://dev-to-uploads.s3.amazonaws.com/uploads/articles/18z4l7p48zlb7d5pruwf.jpeg) |
| __Reference Architecture Diagram: Advanced AI Patterns:-__ | 
| ![Image description](https://dev-to-uploads.s3.amazonaws.com/uploads/articles/hwv5s0trfufclq0t1ome.jpeg) |

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__