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Maxim Anatsko is back for a second session, and it is a new topic.
In July he covered agentic report building with PBIR CLI. This time he moves from reports to semantic models.

AI can now write DAX, create measures, and restructure Power BI semantic models with natural language. Fast and useful, but not always predictable.

Our next Wellington Power BI & Fabric User Group session is SemanticOps: Agentic Development for Power BI Semantic Models, a practical look at safer AI-assisted model development.

Maxim is a Fabric and Power BI Consultant and the creator of SemanticOps, DAXBench, and TMDL Explorer. He will cover:

  • Testing changes and rolling back mistakes
  • Setting policies and checking impact before changes are applied
  • Protecting sensitive data with masking

SemanticOps MCP was formerly known as MCP Engine.

Disclosure: SemanticOps is a commercial product created by Maxim. Its free tier covers core modeling, DAX queries, bulk operations, translations, and basic performance statistics; paid tiers add controls such as rollback, testing, policy enforcement, impact analysis, and data masking.
45 minutes of content, 15 minutes for Q&A.

  • Date: Monday 10 August
  • Time: 7:00 PM NZST
  • Speaker local time: 9:00 AM, Prague

#SemanticOps #AgenticAI #DataAnalytics #WellingtonPUG

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