IN-PERSON: AI in the SQL World: Tools We Have & Tips for Using Them

In this session, we'll focus on what to do as Microsoft and our own managers become increasingly focused on having us integrate AI into our daily workflows. What does that actually mean for us as data professionals who work on Microsoft data platforms? If our boss instructs us to do X% of work "with AI", what does that mean and how can we do that without negatively impacting our work? Maybe we've heard our developer friends going on and on about how much coding assistants have helped them, and we want to explore what GitHub Copilot in SSMS can do for us. It could be that we're being asked to support "AI search" in our database – but we're not quite sure what that means and how to do that. If any of those scenarios (or similar) resonate with you, join us for this session as we explore the AI-related tools and capabilities in the Microsoft SQL ecosystem and how you can use them to boost productivity, support new workloads, and maybe even have a little more fun at work.

Session Goals:
• Learn about helpful ways to integrate AI into our daily workflows.
• Learn about what coding assistants are and how they can be helpful in data-related development.
• Learn about implementing "AI search" in Azure SQL and SQL Server and what developers mean when they ask us to do that.

Session Prerequisites:
• A basic knowledge of SQL is preferred.