In this technical talk, we will explore how to harness the power of Azure AI, Azure AI Studio, Azure Search Services, and large language models to extract valuable decision-making data from the Azure SQL Database.

We will begin by discussing Azure AI and its capabilities. Starting with a clean slate, build a solution using Azure AI Studio and its user-friendly interface that can chat with an SQL database, helping make data-driven decisions without writing code. This solution will delve into Azure Search Services, highlighting how it can be used to efficiently index and query data.

The second part of the presentation will focus on utilizing large language models and Python notebooks to extract and analyze data from the Azure SQL Database. Attendees will learn how to set up their environment, connect to the database, and implement AI-driven solutions (talk to the database).

By the end of the session, participants will have a solid foundation in using Azure AI and Python for data-driven decision-making, empowering them to leverage these tools in their projects.