This time we’re going bigger than ever. Fabric, Power BI, SQL, AI and more. We're covering it all. You won't want to miss it.
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If you haven’t already, check out Arun Ulag’s hero blog “FabCon and SQLCon 2026: Unifying databases and Fabric on a single, complete platform” for a complete look at all of our FabCon and SQLCon announcements across both Fabric and our database offerings.
Power BI is the decision layer for millions of users because it doesn’t just visualize data—it standardizes meaning. Semantic models capture the definitions that businesses run on the measures people trust, the relationships that provide context, and the governance that keeps answers consistent. Microsoft Fabric IQ builds that same semantic layer, extending trusted Power BI definitions into a broader, connected context that can support analytics and AI with fewer gaps and less guessing.
Here’s how customers are already putting that vision into action:
“Power BI Copilot coupled with trusted data products have become the common language of insight across the enterprise — connecting teams, data, and decisions through a single, trusted analytics platform.”We’re announcing new capabilities that make Power BI more open, more powerful, and more deeply integrated into the way you work while strengthening the semantic foundation that AI relies on to deliver consistent, trustworthy answersPaul Wellman, Vice President, Enterprise Data & Analytics Platforms, TD Bank Group
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Figure: Translytical task flows in Power BI—take action directly from a report to update records and move work forward without leaving the analytics experience.
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Figure: Modern visual defaults (Preview) in Power BI Desktop—updated Fluent 2 styling and a refreshed base theme give new reports a polished look by default.
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Figure: Copilot in the Power BI mobile app answers a question and generates a visual.
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Figure: Editing semantic model metadata in a code-first TMDL experience in the browser.
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Figure: Creating a semantic model with Direct Lake on OneLake.
Direct Lake on OneLake, now generally available, provides compatibility with OneLake security, more modeling features, and faster query performance. Refer to Direct Lake on OneLake documentation to learn more.
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Figure: Creating a calculated column for a Direct Lake table in the semantic model
We’d love to keep the conversation going with you. If you’re joining FabCon Atlanta 2026, build your agenda and attend the Power BI and Fabric sessions that map to your role. Come find us in the Community Lounge or at Ask the Experts to share what’s working and what else you want to see in the product.
If you’re not onsite, you can still participate. Post questions and feedback in the Power BI Community forums and influence the product roadmap by sharing and upvoting ideas.
Let’s shape the future of data and AI together.
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