Turning Data into Insights with Copilot and Data Agents in Microsoft Fabric

AI in Microsoft Fabric is designed to help you work smarter with your data. In this session, you will learn how Copilot accelerates analytics by generating queries, building models, and creating visualizations using natural language. We will explore AI functions in notebooks, which make it easy to apply enrichment such as summarization, sentiment analysis, and entity extraction with a single line of code. You will also see how AI-powered transforms on OneLake shortcuts can automatically process text files for summarization, translation, or PII detection without building pipelines. Finally, we will show how Data Wrangler provides an interactive way to clean and shape your data inside notebooks while generating reusable code. Through a live demo, you will see how these capabilities combine to help you deliver insights and intelligent features quickly for your hackathon project. What you will learn: How to use Copilot for modelling and analytics How to enrich data with AI functions and shortcut transforms How to prepare and transform data efficiently with Data Wrangler 📌 This session is a part of a series! Learn more here - https://aka.ms/FabConHack/reactor 🔍 Explore the Global Fabric Hackathon repo - https://aka.ms/FabConHack-reactor #learnconnectbuild #FabricHackathon