Many organizations have centralized their data in Microsoft Fabric and built semantic models, yet still struggle to create a shared understanding of what the data actually means for the business.

This is where ontology models in Fabric IQ provide the missing foundation.
In this session, we explore how Fabric IQ places ontology at the center of the data platform, turning fragmented models into a governed and reusable semantic foundation. Ontologies enable a single source of truth, support cross-domain analytics, and create a connected knowledge layer.

You will see how ontologies bring together semantic models, graphs, and Data Agents, ensuring that all components operate on a shared business definition.
As a result, ontologies become the backbone of intelligent data platforms, ensuring that insights and AI-driven interactions are consistent, explainable, and aligned with the business.

In Fabric IQ, ontology turns data into meaning, and meaning into action.

What you’ll learn
- Understand and recognize when to apply an ontology
- Explain how ontology models capture business meaning using entities, relationships, and rules, with examples
- Recognize the role of ontology within Fabric IQ alongside semantic models, graphs, and Data Agents
- Apply ontology concepts to design more consistent, reusable, and AI-ready data platforms

Technical Requirements
- Basic understanding of Microsoft Fabric (Lakehouse, Warehouse, or Power BI semantic models)
- Familiarity with data modeling concepts (tables, relationships, business definitions)
- No prior experience with Fabric IQ or ontologies required

Audience
This session is designed for Microsoft Fabric practitioners, including Data Engineers, Analytics Engineers, AI Engineers, and Architects.
Anyone designing data platforms, semantic models, or AI-driven solutions who wants to introduce more business context and meaning into their data.