Unlock the future of data productivity with a hands-on exploration of AI-powered Copilots! We’ll dive into GitHub Copilot in SQL Server Management Studio (SSMS), Microsoft Copilot in Azure and Copilot for SQL Databases in Microsoft Fabric. With real-world demos and best practice tips along the way, you’ll leave ready to transform how you interact with SQL, anywhere.
talk-data.com
Speaker
Anna Hoffman
5
talks
Principal Group Product Manager on Microsoft's SQL Engineering team. Host of Data Exposed. GT Engineering Undergrad + Data Science Masters. Millennial.
Bio from: Online SQL Community & Engineering: Ignite Ask Me Anything w/ SQL Leadership
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Discover how SQL in Fabric brings transactional and analytical workloads together in one cloud-native database. In this session, we’ll show how developers and data teams can simplify AI-driven application development with near real-time insights and built-in AI, seamless OneLake integration, and end-to-end analytics—all in a single, unified experience.
Build AI apps that run securely and scale with your needs with Azure SQL Database Hyperscale. We’ll cover native vector indexes for semantic search, read scale out for low latency RAG, and secure model invocation with Microsoft Foundry, using the model of your choice, from T SQL. Hear directly from global technology company Hexagon and investment firm BlackRock who will join us to share their experience along with best practices, demos and more!
This demo-heavy session highlights the enhanced MSSQL extension for Visual Studio Code, now more robust than ever with new AI-driven enhancements to streamline your SQL development experience. With GitHub Copilot, you can move faster from schema to code, generate sample data, explore relationships, and help your app and backend stay in sync. With our latest mssql-python driver, you can develop with ease, security, and performance, across SQL Server, Azure SQL and SQL database in Fabric.
Ivanti leverages SQL Server 2025’s AI capabilities to transform service management through with agentic AI. This next-generation approach simplifies IT operations, driving efficiency, productivity, and employee satisfaction while enabling continuous innovation across the enterprise.