Microsoft Fabric Updates Blog

Accelerate Data Transformation with AI Functions in Data Wrangler (Preview)

AI functions offer a single-click way to perform tasks like text summarization, classification, translation, sentiment analysis, executing your own prompt, and more, all without writing complex code. With Data Wrangler’s interactive interface, you will be able to watch your transformations instantly with real-time previews to help you prepare data more confidently.

A GIF demonstrating how to use AI functions in Data Wrangler to instantly classify transactions on a bank statement data frame.

Additional AI Capabilities in Data Wrangler (Generally Available)

You can see smart suggestions based on Microsoft PROSE for operations that are relevant to your data frame.

AI-powered suggestions highlight Data Wrangler operations that are relevant to you.

With Copilot, you can describe your desired transformations in natural language, and it will generate code and an instant preview of the results.

With Copilot in Data Wrangler, you can generate custom code from your own instructions.

For big data workflows, Data Wrangler can Microsoft PROSE, making it easy to scale your transformations across large datasets.

Data Wrangler can translate all your operations from pandas to PySpark, using AI where necessary to produce the most accurate code.

Next steps

Try out AI Functions in Data Wrangler, as well as these other AI capabilities, and let us know what you think!

Postingan blog terkait

Accelerate Data Transformation with AI Functions in Data Wrangler (Preview)

November 4, 2025 berdasarkan Misha Desai

We’re introducing a set of new enhancements for Data Agent creators — designed to make it easier to debug, improve, and express your agent’s logic. Whether you’re tuning example queries, refining instructions, or validating performance, these updates make it faster to iterate and deliver high-quality experiences to your users. New Debugging Tools View referenced example … Continue reading “Creator Improvements in the Data Agent”

Oktober 29, 2025 berdasarkan Adam Saxton

This month’s update delivers key advancements across Microsoft Fabric, including enhanced security with Outbound Access Protection and Workspace-Level Private Link, smarter data engineering features like Adaptive Target File Size, and new integrations such as Data Agent in Lakehouse. Together, these improvements streamline workflows and strengthen data governance for users. Contents Events & Announcements Fabric Data … Continue reading “Fabric October 2025 Feature Summary”