GENERATIVE BI RESOURCES
Generative BI with Power BI & Fabric IQ
Learn how Power BI semantic models, semantic enrichment, Fabric IQ, ontologies, and AI work together to create more reliable Generative BI experiences.
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Welcome to Generative BI with Fabric IQ
An introduction to Generative BI and why business context matters.
Generative BI: Beyond Conversational Analytics
Understand why Generative BI is more than asking questions of your data.
Prepare Your Power BI Models for AI
Why Semantic Enrichment Is the Foundation of Generative BI
Why AI needs explicit business meaning - not just tables, columns, and measures.
Is Your Power BI Semantic Model Ready for AI?
Learn what separates a dashboard-ready semantic model from an AI-ready one.
How Does Power BI Copilot Use Your Semantic Model?
Learn how Copilot uses semantic-model metadata, schema reduction, AI Data Schemas, Verified Answers, and AI Instructions to interpret business questions.
Need help preparing your models?
Explore Power BI Models for AI →
Get Your Power BI Models Ready for AI Training →
Explore Fabric IQ & Ontologies
What Is an Ontology in Microsoft Fabric IQ?
Learn how ontologies model business concepts, relationships, and meaning for AI.
How Do You Model an Ontology in Microsoft Fabric IQ?
Learn why ontology modeling should start with business concepts, grain, properties, and relationships - and why generating an ontology from a Power BI semantic model is only a starting point.
Fabric IQ Ontologies Require a Modeling Methodology - Here’s Why
Learn why Fabric IQ provides ontology-building tools, but you still need a repeatable methodology to define concepts, relationships, constraints, governance, and validation consistently.
Can ORM2 Help You Model Fabric IQ Ontologies?
Explore how ORM2’s fact-based, natural-language approach can provide an upstream conceptual modeling methodology for Fabric IQ ontology design.
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