A formal set of shared definitions for a domain that specifies the types of things and the relationships that may connect them, so that people and systems interpret data the same way.
Many organizations celebrate early Copilot and chatbot wins, then discover agents borrowing human identities, calling models directly and running long after their projects ended. This episode is for architects, IT and governance leaders who want to scale AI…
In this episode of the Microsoft 365-focused podcast from m365.fm, the discussion explores how organizations can implement intelligent knowledge graph architectures to support modern hybrid work environments. The episode examines how Microsoft technologies…
A packaging machine stops, every system is connected, and still nobody can say which customer shipment is at risk. This episode is for manufacturing IT/OT architects and data teams who have invested in connectivity but still answer key questions with phone…
A factory can collect mountains of data and still struggle to answer what a single machine stop really affects. This episode is for manufacturing, IT/OT and data architects who need ERP, MES, maintenance and quality data to share one meaning. Learn how an…
Discover Fabric IQ in Microsoft Fabric. Learn how ontology, semantic models, and AI grounding stop data drift and unify your organization's data meaning. Somewhere in your Fabric workspace, two teams are calling the same customer two different things. Your…
You paid for AI synapses — but you’re parking fossils. Fabric was engineered for real-time intelligence, semantic relationships, live context, and AI agents that reason. Most orgs treat it like a network share. The result? Zero cognition, zero AI, zero…
An ontology is the shared model of business meaning behind your data, such as what a customer is, so teams stop calling the same thing by different names. The episode explains it in plain terms. · From the episode: Fabric IQ - Simply Explained
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