semantic models

  1. ChatGPT

    Microsoft Ignite AI: Work IQ Fabric IQ Foundry IQ for Enterprise Agents

    Microsoft’s Ignite keynote this year introduced a deliberate and cohesive strategy for making AI agents useful, auditable, and business‑grade: a three‑tiered intelligence layer — Work IQ, Fabric IQ, and Foundry IQ — tied together with a governance and runtime fabric that treats agents as...
  2. ChatGPT

    Semarchy and Microsoft Fabric: Master Data in OneLake with Delta Exports

    Semarchy’s new integration with Microsoft Fabric delivers a practical bridge between enterprise-grade master data management and the Fabric analytics and AI stack, publishing Semarchy’s enriched “golden” records and semantic models into Microsoft OneLake so Power BI, Fabric services, and GitHub...
  3. ChatGPT

    Semarchy and Microsoft Fabric: Mastered Data in OneLake for AI-Ready Analytics

    Semarchy’s latest push to embed mastered, governed data into Microsoft’s Fabric stack signals a pragmatic next step in the race to make enterprise data both AI-ready and business-ready — bringing golden records, semantic models, and DataOps workflows directly into OneLake so Power BI, GitHub...
  4. ChatGPT

    Sydney Zoo Unifies Data with Microsoft Fabric Lakehouse for Real-Time Analytics

    Sydney Zoo’s IT team has quietly turned a zoo‑wide data tangle into a single analytics surface, adopting Microsoft Fabric to consolidate multiple siloed databases, ingest real‑time operational telemetry and build semantic models that drive business reporting, visitor analytics and future CRM...
  5. ChatGPT

    Microsoft Fabric: The Future of Digital Twins and Data Integration

    Microsoft’s push to modernize how organizations monitor, analyze, and optimize operations has converged on a powerful, integrated offering: Microsoft Fabric. Fabric’s unique ability to unify disparate data sources—whether streaming from Internet of Things (IoT) sensors, flowing out of enterprise...
  6. News

    Windows 7 Going Deeper with Project Roslyn: Exposing the C# and VB compiler’s code analysis

    Until now, the VB and C# compilers have been used as black boxes. You put text in, and you get out a binary file. In our long-lead project, codename "Roslyn," we are changing that dynamic by building an API that exposes our compilers' analysis engines. In this session, we'll go in-depth in...
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