22-25 April 2026 
Practical Architecture Patterns for Reliable AI on Microsoft Fabric
Proposed session for SQLBits 2026TL; DR
AI and Copilot features are becoming core to Microsoft Fabric, but many teams struggle to use them reliably on real enterprise data. This session presents proven architecture patterns that improve trust, stability, and outcomes when combining AI with Fabric and SQL data platforms.
Session Details
Microsoft Fabric makes AI accessible, but reliability depends on architecture. This session covers practical patterns to handle schema drift, ownership, lineage, and trust so Copilot and AI features work consistently on real SQL and Fabric data platforms.
3 things you'll get out of this session
-Learn architecture patterns that improve AI reliability in Fabric
-Understand common failure points in real enterprise Fabric projects
-Apply governance-aware design without slowing delivery
Speakers
Sukant Pandey's other proposed sessions for 2026
Making AI and Copilot Work on Real SQL & Fabric Data Platforms - 2026
Why AI Fails on Modern Data Platforms — And How Governance-First Architectures Fix It - 2026