Fabric Data Agent #copilot
4 items tagged with "copilot"
đź“„ Articles
Jan 28, 2026
Microsoft Fabric Copilot: Building a Foundation of Trust Before You Ask Questions!
The blog discusses why establishing a strong foundation of trust is essential before users begin asking questions to Microsoft Fabric Copilot. It emphasizes that Copilot’s effectiveness depends heavily on the quality, clarity, and governance of the underlying data and semantic models. The author explains how organizations should prepare their Fabric environment—through well‑modeled data, proper documentation, security, and metadata—so Copilot can generate accurate, reliable, and context‑aware responses. Overall, it’s a call to treat Copilot not as magic, but as a powerful layer built on top of disciplined data practices.
🎬 Videos
Apr 1, 2025
Introduction to Microsoft Fabric Data Agents
Covers what Fabric Data Agents are, how they use generative AI for Q&A over your data, prerequisites, setup process, connecting semantic models, and how to publish agents for broader use across Microsoft 365 Copilot and Teams.
Aug 9, 2025
Skip navigation fabric data agent Create Avatar image Turning Data into Insights with Copilot and Data Agents in Microsoft Fabric
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.
đź’Ľ LinkedIn Posts
Mar 16, 2026
Copilot vs Data Agents
Microsoft Fabric now gives us Data Agents - purpose-built, grounded on your actual data sources (Lakehouse, Warehouse, SQL DB, KQL DB), and fully customizable with AI instructions, example SQL queries, and tone/format control. Compare that to the standalone Copilot: broad access, but limited customization and no instruction support.