Concept
A shared business layer that defines what terms, measures and records mean and how they relate, so reports, people and AI tools use the same definitions.
| Type | Concept |
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2026-10-09
A machine stops and ERP, MES, maintenance and the PLC each know part of the story, so AI cannot safely optimize the response. This episode shows manufacturing and data leaders how semantic layers, knowledge graphs, digital twins and clear constraints give AI…
2026-09-17
Many organizations have Copilot, Power BI and Fabric, yet decisions still stall because nobody trusts the numbers or owns the call. This episode gives data and business leaders five pillars, from governance to human judgment, to test any report, prompt or…
2025-12-30 · Video on YouTube
Most organizations think their data problems are about who can see reports. In reality, the bigger risk is what those reports mean today—and how quietly that meaning changes tomorrow. Your transcript argues that Microsoft Fabric doesn’t create chaos by being…
2026-08-15 · Video on YouTube
Everyone wants Copilot and agents, but fragmented data and weak governance undermine trustworthy answers. Mirko Peters talks with Walter Calcagno about Microsoft Fabric, semantic models, ontology layers, metadata and his AI readiness approach. Data…
2026-05-28 · Video on YouTube
Enterprise search is no longer limited by storage capacity or indexing speed. The real challenge is the growing gap between when information is created and when it becomes discoverable. This article explores how Microsoft Graph API Discovery is changing…
2025-11-04 · Video on YouTube
Copilot didn’t hallucinate — you hallucinated first. Your schema lied → Fabric believed it → Copilot repeated it with confidence. Bad Bronze → leaky Silver → fake Gold = executive decisions built on fiction. Fix the Medallion discipline + fix the semantic…
2026-03-23 · Video on YouTube
Most organizations believe they understand how their business operates. They point to org charts, policies, and compliance frameworks as proof. They are wrong. In this episode, Mirko Peters reframes Microsoft Purview from a compliance tool into...
2025-08-12 · Video on YouTube
Most Power BI environments start fast and stall under copy-paste sprawl: duplicated PBIX files, conflicting measures, and “spreadmart” dashboards that nobody fully trusts. The fix isn’t another naming convention—it’s a model-first architecture. Microsoft…
2025-08-06 · Video on YouTube
This episode shows how Microsoft Fabric + Dynamics 365 Supply Chain Management (SCM) turn fragmented dashboards into a real-time, end-to-end control system. We connect purchase orders, production, inventory, transport, and delivery into one model that…
Establish clear governance policies early, regularly review and update definitions, review data models as business needs evolve and automate governance for real-time insights and continuous auditing. · From the episode: Build a Trusted Semantic Layer in Microsoft…
A semantic layer connects data sources so AI better understands and delivers relevant search results. Relationship-driven discovery gives AI context that crawl-and-index models lack. · From the episode: Microsoft Graph API Discovery for Enterprise…
Restore Medallion discipline and fix the semantic layer, with standardized naming and clearly defined relationships. This lets Copilot interpret data correctly. · From the episode: Fix Wrong Copilot Numbers in Microsoft Fabric
It simplifies complex data and makes it accessible for non-technical users, which also improves communication across teams. It sits between raw data and the people who need to understand it. · From the episode: Microsoft Purview as a Business Intelligence…
Naming conventions do not stop duplication or conflicting definitions. A model-first approach puts the definitions in one shared semantic layer, so reports reuse the same measures and the spreadmart problem of untrusted dashboards fades. · From the episode: Build Reusable Semantic Models in Microsoft…
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Maintained by Mirko Peters (Microsoft MVP) · Last updated:
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