IQ Community Blog

Fundamentals are getting a re-write. Fabric Data Agents mark a shift from humans authoring logic to systems that reason, going through governance, not around it. For years, we’ve optimized how humans interact with data. We have taught people how to write better queries, built semantic models to abstract business logic and added governance so analytics could scale safely. We call those kinds of things fundamentals. Well, fundamental is getting a rewrite, and the new fundamental is something much more like a reasoning surface.

With terms like Work IQ, Fabric IQ, Foundry IQ, Agent 365, and Copilot Studio flying around, it’s easy to get lost in the noise. However, there is a clear architecture behind it all. 🔹Work IQ → User context (how people collaborate) 🔹Fabric IQ → Data context (structured business data) 🔹Foundry IQ → Knowledge context (enterprise policies & intelligence) These aren’t products—they’re architectural layers that make AI useful at enterprise scale.

If you’ve ever felt buried in fragmented datasets and mismatched schemas, my latest post on Microsoft Fabric IQ might be your cup of tea. I walk through how I coaxed Fabric’s new Ontology item into weaving store sales, product catalogs and freezer telemetry into a single, live business graph—complete with a hands‑on setup guide and runnable code. It’s a mix of practical steps, personal missteps and a few laughs, all in an approachable 10‑minute read. Check it out to see how Fabric’s semantic layer can turn chaos into clarity

Even when data is centralized, business meaning can still vary across teams. This article explores why semantic alignment matters and how Microsoft Fabric IQ helps organizations unify not just their data, but the meaning behind it.