Enhance data prep with AI-powered capabilities in Data Wrangler (Preview)
With AI-powered capabilities in Data Wrangler, you can now do even more to accelerate exploratory analysis and data preparation in Fabric.
With AI-powered capabilities in Data Wrangler, you can now do even more to accelerate exploratory analysis and data preparation in Fabric.
Co-author: Joanne Wong We’re excited to announce the upcoming integration of Fabric data agent with Copilot in Power BI, enhancing your ability to extract insights seamlessly. What’s new? A new chat with your data experience is launching soon in Power BI– a full-screen Copilot for users to ask natural language questions and receive accurate, relevant … Continue reading “Extracting deeper insights with Fabric Data Agents in Copilot in Power BI”
Today kicks off Microsoft Build and we have a lot of new features in store for you. Some highlights are the Fabric Roadmap tool, a way to get glimpse of that is coming soon to Fabric. Chat with your data, powerful AI capabilities that make Power BI even easier. Cosmos DB in Fabric, give you the … Continue reading “Fabric May 2025 Feature Summary”
Now available in preview, Copilot Inline Code Completion is an AI-powered feature that helps data scientists and engineers write high-quality Python code faster and with greater ease. Inspired by GitHub Copilot, this feature offers intelligent code suggestions as you type, with no commands needed. By understanding the context of your notebook, Copilot Inline Code Completion … Continue reading “Improving productivity in Fabric Notebooks with Inline Code Completion (Preview)”
We’re excited to announce that native support for evaluating Data Agents through the Fabric SDK is now available in Preview. You can now run structured evaluations of your agent’s responses using Python — directly from notebooks or your own automation pipelines. Whether you’re validating accuracy before deploying to production, tuning prompts for better performance, or … Continue reading “Evaluate your Fabric Data Agents programmatically with the Python SDK (Preview)”