Operations Context for AI | Ontology in Fabric IQ

Build a shared semantic foundation for your enterprise data in Microsoft Fabric IQ. Generate a full business ontology from an existing Power BI semantic model, map entities and relationships, and embed real-time operational signals alongside business rules that live inside the ontology with the data and its meaning. From there, trace cascading operational impacts across your business through the relationship graph, stand up Operations Agents in natural language with Teams-based actions, and connect the same ontology as a knowledge source in Copilot Studio or Azure AI Foundry.  Chafia Aouissi, Fabric IQ Principal PM Manager, shares how to model your business operations, embed intelligence in your data, and deploy agents that act on it.  ► QUICK LINKS:  00:00 - Unify models & data with Fabric IQ 01:12 - Generate an ontology 02:27 - Bring in Power BI reports 03:08 - View across multiple data sources 04:23 - Define rules 05:18 - Built-in ontology graph 06:03 - Fabric IQ agents 08:24 - Fabric IQ as Knowledge Source 08:54 - Wrap up ► Link References Get started at https://aka.ms/FabricIQ ► Unfamiliar with Microsoft Mechanics? As Microsoft's official video series for IT, you can watch and share valuable content and demos of current and upcoming tech from the people who build it at Microsoft. • Subscribe to our YouTube: https://www.youtube.com/c/MicrosoftMechanicsSeries • Talk with other IT Pros, join us on the Microsoft Tech Community: https://techcommunity.microsoft.com/t5/microsoft-mechanics-blog/bg-p/MicrosoftMechanicsBlog • Watch or listen from anywhere, subscribe to our podcast: https://microsoftmechanics.libsyn.com/podcast ► Keep getting this insider knowledge, join us on social: • Follow us on Twitter: https://twitter.com/MSFTMechanics • Share knowledge on LinkedIn: https://www.linkedin.com/company/microsoft-mechanics/ • Enjoy us on Instagram: https://www.instagram.com/msftmechanics/ • Loosen up with us on TikTok: https://www.tiktok.com/@msftmechanics