22-25 April 2026 
Prepare Your Power BI Semantic Model for AI-Ready Analytics
Proposed session for SQLBits 2026TL; DR
AI in Power BI fails when your semantic model is poorly designed. In this session, you’ll learn how to prepare your data schema, metadata, and AI instructions so
Copilots deliver consistent, trustworthy answers. Walk away with a clear checklist to mark your model as truly AI-ready.
Session Details
AI in Power BI is only as good as the data and metadata behind it - and most semantic models are nowhere near ready.
Poor schemas, vague column names, missing descriptions, and unchecked relationships confuse AI copilots, produce inconsistent answers in Q&A, and erode user trust. This session focuses on the unglamorous, but critical work required to make AI actually useful in Power BI.
You’ll learn at the session:
- How to make semantic models AI-ready,
- Optimize data schemas for clarity and simplicity,
- Review and refine tables & column metadata,
- Apply linguistic modeling for business meaning,
- Define AI instructions,
By the end of the session, you’ll know exactly when a model is “AI-ready”, how to mark it as such, and how to safely let users test and trust AI-driven insights.
This session is ideal for Power BI professionals, analytics engineers, and data teams who want AI features to deliver real value.
Poor schemas, vague column names, missing descriptions, and unchecked relationships confuse AI copilots, produce inconsistent answers in Q&A, and erode user trust. This session focuses on the unglamorous, but critical work required to make AI actually useful in Power BI.
You’ll learn at the session:
- How to make semantic models AI-ready,
- Optimize data schemas for clarity and simplicity,
- Review and refine tables & column metadata,
- Apply linguistic modeling for business meaning,
- Define AI instructions,
By the end of the session, you’ll know exactly when a model is “AI-ready”, how to mark it as such, and how to safely let users test and trust AI-driven insights.
This session is ideal for Power BI professionals, analytics engineers, and data teams who want AI features to deliver real value.
3 things you'll get out of this session
-A clear checklist for making Power BI models AI-ready,
-Better metadata and schema for accurate AI answers,
-Confidence to test and trust Copilot outputs.