Microsoft Build 2026 marks a major shift in how developers build data experiences with AI agents. Today we're announcing two capabilities that bring agentic analytics to the forefront: Agent Skills for Power BI , which let developers prompt an AI agent to build and refine semantic models and reports, and Fabric Apps for Semantic Models , which enable AI agents to build and deploy Fabric-native web apps on semantic models. Both capabilities will accelerate the time it takes to go from raw data to a polished analytics solution with just natural language prompts. Agent Skills for Power BI (Preview) In November 2025, we released our Power BI Modeling MCP , which allowed AI agents to interact with Power BI’s semantic layer, enabling massive productivity gains in semantic model authoring. Agent Skills for Power BI brings a true end-to-end agentic development workflow not just for Power BI semantic models but for Power BI reports too using Power BI Projects (PBIP). Instead of manually b...
DAX user-defined functions are now production-ready based on community feedback and internal validation. Their adoption during preview shows that DAX UDFs are quickly becoming a mainstay of Power BI semantic models. Reusable, discoverable DAX building blocks Now, DAX user-defined functions are ready to support production models at scale. With DAX UDFs, you can write a calculation once and reuse it across measures, columns, and visuals — instead of copying the same expression into multiple places and hoping they stay in sync. You can use /// documentation comments to make your functions self-describing — type a function name and IntelliSense shows the function description and the signature. Type hints control parameter passing behavior and enforce type safety at runtime. You can break large monolithic DAX expressions into small, testable pieces that are easier to read, debug, and share with your team. And perhaps best of all, because DAX UDFs are first-class model objects with typ...