Real-Time Dashboards in Microsoft Fabric give you a way to monitor live data and share insights with your team. Now, with Copilot integration in the dashboard editing experience, you can use natural language to create and modify visuals directly, no KQL expertise required.
A frequent request we receive from dashboard authors is the ability to have greater control over color settings. Until now, color assignments in real-time dashboards were largely automatic. While this worked for basic scenarios, it often fell short in operational and reporting use cases where color isn’t decoration—it’s meaning. Data Series Colors is a new … Continue reading “Introducing Data Series Colors: tell clearer stories with Real-Time Dashboards (Generally Available)”
Turning questions into KQL queries just became part of Real-Time Dashboard tile editing experience, using Copilot. This new feature brings the power of AI directly into the tile editing workflow. When editing a tile, you’ll now see the Copilot assistant pane ready to help you turn natural language into actionable queries. Whether you’re new to … Continue reading “Introducing Copilot for Real-Time Dashboards: Write KQL with natural language”
Performance matters—especially when you’re exploring live data and making decisions in real time. We have released a set of improvements, all aiming to make Real-Time Dashboards faster, smoother, and more responsive, based directly on what our customers and community told us. We listen to your feedback and take action! What’s Improved Thanks to a series … Continue reading “Faster, Smoother, More Delightful: Real-Time Dashboards Performance Improvements”
With this new capability, you can now use natural language to explore the live data behind your Real-Time Dashboard tiles, or in KQL tables. Simply ask questions, refine visuals, and uncover insights – all without writing a single line of query language. Instantly Explore Your Data Real-Time Dashboards already help you monitor key metrics and … Continue reading “Copilot assisted real time data exploration (Preview)”
