In the world of enterprise data, there has always been a “missing link” between the raw numbers in a database and the actual operational decisions made on the ground. Traditionally, business context is fragmented across different systems, buried in complex dashboards, or locked away in the minds of specific teams.
Microsoft Fabric IQ changes this by introducing a shared semantic foundation—a way to model your business operations directly alongside your data. By creating a unified ontology, Fabric IQ ensures that your analysts, your data, and your AI agents are all speaking the same language.
Shared Semantic Foundation: Unify models and data through an ontology that defines business entities (like “Flights” or “Runways”) and their real-world relationships.
Logic Lives with Data: Move business rules out of siloed code and directly into the data layer.
Operational AI Agents: Deploy agents that don’t just “chat” about data but understand cascading impacts and take real-time actions in tools like Microsoft Teams.
Seamless Integration: Turn existing Power BI semantic models into full business ontologies with a few clicks.
You don’t have to start from scratch. Fabric IQ allows you to jumpstart your modeling by importing an existing Power BI semantic model.
Auto-Generation: Fabric IQ identifies entities and relationships (e.g., how a “Route” connects to a “Runway” which connects to an “Airport”).
Live Signals: Enhance your model with real-time operational data, such as weather sensors, geospatial insights, or IoT feeds.
Canonical Views: Embed your existing Power BI reports directly into the ontology for a single source of truth.
Instead of hard-coding logic into disparate applications, you define business rules directly within the ontology.
Example: You can set a rule that states: “If runway snow contamination exceeds 25%, automatically notify ground crews and alert passengers of potential delays.”
Because these rules live inside the ontology, they are “aware” of the relationships between entities. You can trace cascading impacts—seeing how a single issue on a runway ripples through gate assignments, baggage handling, and flight schedules.
Fabric IQ takes AI beyond simple Q&A. By using the ontology as a Knowledge Source, you can stand up Operations Agents using natural language.
Goal-Oriented: Give the agent a mission (e.g., “Monitor runway safety”).
Actionable: Connect the agent to real-world actions, such as sending a dispatch request in Microsoft Teams.
Human-in-the-Loop: Agents provide recommendations based on the ontology’s rules, allowing humans to verify and trigger actions with a single click.
Whether you are building custom bots in Copilot Studio or developing sophisticated models in Azure AI Foundry, Fabric IQ serves as the grounding layer. It ensures that every agent in your ecosystem respects your business logic, security policies, and organizational relationships.
The Bottom Line: Fabric IQ moves your enterprise from “looking at data” to “operating on data.”
| Feature | Benefit |
| Ontology Generator | Instantly turn Power BI models into a relational business map. |
| Relationship Graph | Trace downstream impacts of operational delays in real-time. |
| Embedded Rules | Logic stays with the data, ensuring consistency across all apps and agents. |
| Teams Integration | Move from insight to action by deploying crews or notifying staff directly. |
Ready to get started? Explore the documentation and demos at aka.ms/FabricIQ.
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What part of your business operations would benefit most from a shared semantic “brain”? (e.g., Supply chain, customer service, or logistics?)
