Posts By: Carly Newsome

Cognitive services and Azure ML will be fully retired by September 15th, 2025

Deprecation announcement: Power BI will no longer support the creation of new models using Cognitive Services, with full retirement of these capabilities coming by September 15th. In response to customer feedback requesting more control and flexibility, Microsoft is shifting machine learning workflows to the new AutoML features in Microsoft Fabric. AutoML in Fabric enables both no-code and pro-code users to build, train, and deploy ML models efficiently using tools like MLflow, Spark notebooks, and integrated visualization. This new experience offers greater customization, improved governance, and seamless integration with Power BI and other Fabric workloads. Customers are encouraged to migrate their existing solutions to Fabric to take advantage of the enhanced capabilities and avoid disruption.

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Updates to Copilot in Power BI: More ways to see, learn from, and ask about your report data

Power BI is rolling out new Copilot capabilities that make it easier to interact with report data across multiple surfaces, including chat, email, and exports. Users can now ask natural language questions in the “chat with your data” experience and get visual-backed answers directly from their reports, including support for ranking questions like “Which region performed best?”. Copilot summaries are also now embedded in report subscription emails, offering instant context and highlighting key insights before diving into the full report. Narrative visuals are supported in PDF and PowerPoint exports, preserving human-readable insights for external sharing. These updates aim to make Copilot a consistent, intelligent companion across the reporting workflow, with more enhancements – like filtered question support, coming soon.

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Announcing Metrics Sets are widely available in Preview

The blog post introduces the Metric Sets Public Preview, a feature designed to enhance metric management across organizations by providing a centralized, consistent, and trusted metric system. Key benefits include centralized metric management, enabling organizations to store and organize metrics in one place to avoid duplication and data silos; enhanced discoverability with intuitive search features; seamless integration with tools like Power BI and notebooks; rich visualization options for easier data consumption; and built-in security and governance for reliable metrics. Looking ahead, further enhancements are planned, including advanced integrations and a more robust desktop experience. Organizations are encouraged to try the feature to improve data quality and boost decision-making.

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