AI agents don’t fail for lack of data—they fail for lack of meaning. Microsoft Fabric IQ’s new ontology capability tackles that head‑on by modeling the business concepts, relationships, and rules that live across your estate, then binding them to live data so agents (and people) can ask better questions and take smarter action.
Continue reading “From Tables to Meaning: A Deep Dive into Microsoft Fabric IQ’s Ontology (Preview)”Tag: Ontology
Start With Meaning: Elevating the Ontological Layer Above Your Semantic Layer
Your metrics are only as reliable as your nouns. If “customer,” “order,” or “revenue” shift between teams or tools, analytics becomes negotiation instead of decision. The way out is to put meaning first—an ontological layer that anchors everything—and then let the semantic layer deliver that meaning at speed and scale.
Continue reading “Start With Meaning: Elevating the Ontological Layer Above Your Semantic Layer”