Semantic Models for Humans and Robots: Enabling Copilot for Self-service Reporting

How do Copilot and Agentic AI change the way business users will interact with organizational data? Is the platform ready and are we ready to embrace it? AI agents and assistants are part of our daily lives. LLM-driven agents like Alexa, Siri, Gemini and Grok provide entertainment, perform requested tasks and answer questions with varying degrees of accuracy and reliability. Sometimes they misunderstand and provide out-of-left-field responses for simple questions. I might ask: “Show me the best practices for my model.” and get: “Of course! Here’s a detailed guide on runway walking techniques and how to maintain a confident posture during a fashion show.”

This series of posts will focus on how to prepare Microsoft Fabric and Power BI semantic models to support effective self-service reporting and analysis using Copilot.

Power BI Fabric Patterns: Fishing & Transformations are Better Upstream

My Dad and I did a lot of fishing when I was young. Back then, we fished for wild trout…

Power BI Fabric Patterns: Model Design Checklist

This post is part of a series of excerpts from my forthcoming book “Microsoft Power BI Data Analyst Associate Study…