As data volumes grow exponentially, Power BI customers demand AI-driven analytical solutions that scale to petabytes, are secure, governed, and easy to manage. Power BI semantic models, backed by Microsoft Fabric, are the foundation for user-friendly BI solutions, bridging the gap between business users and IT by enabling trusted ad-hoc analysis. Consequently, Power BI semantic … Continue reading “Power BI semantic models as accelerators for AI-enabled consumption”
» Read more Today, we are excited to introduce new semantic model API enhancements, specifically enabling model authors to update default culture and collation settings for deployed models programmatically. You no longer need to redeploy a semantic model in the Power BI service just to update its default culture, collation, or both.
» Read more This month, we’re thrilled to bring you a host of new features and improvements designed to enhance your data analysis and visualization experience. We’ve made significant strides in performance and usability, ensuring that Power BI continues to be a powerful tool for your data needs.
» Read more Welcome to the January 2025 update! Get ready to elevate your data analysis experience! We’re thrilled to announce a series of powerful new features designed to make exploring your data easier and more intuitive than ever. With the addition of the “Explore this data” option in the visual options menu, diving into your datasets is a breeze. Plus, our Treemap visual now boasts three innovative tiling methods for enhanced visualization.
» Read more Welcome to the August 2024 update. Here are a few, select highlights of the many we have for Power BI. You can now ask Copilot questions against your semantic model. Updated Save and Upload to OneDrive Flow in Power BI and Narrative visual with Copilot is available in SaaS embed. There is much more to explore, please continue to read on!
» Read more We are excited to announce the general availability (GA) of granular access control for all data connection types, a security feature that enables organizations to have more control over who can bind semantic models to organizational data sources on-prem and in the cloud.
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