Introducing new item creation experience in Fabric | Microsoft Fabric Blog | Microsoft Fabric

Power BI
Introducing MCP Support for Real-Time Intelligence (RTI)  | Microsoft Fabric Blog | Microsoft Fabric
Extracting Semantic Model Source Tables with Fabric Notebooks
Integrating Azure API Management with Fabric API for GraphQL | Microsoft Fabric Blog | Microsoft Fabric
Two new C# Scripts for PBIR: Replace Fields & Open Visual Json files - Esbrina
SharePoint files destination the first file-based destination for Dataflows Gen2 | Microsoft Fabric Blog | Microsoft Fabric
Dataflow Gen2 CI/CD, GIT integration and Public APIs (Generally Available) | Microsoft Fabric Blog | Microsoft Fabric
Finding reports and semantic models easily with Power BI Copilot Search
Grouping and filtering in Power BI Copilot AI Instructions
Get Report Viewing History using Semantic Link Labs
Extracting deeper insights with Fabric Data Agents in Copilot in Power BI | Microsoft Fabric Blog | Microsoft Fabric
Fabric CLI: explore and automate Microsoft Fabric from your terminal (Generally Available) | Microsoft Fabric Blog | Microsoft Fabric
Enhance data prep with AI-powered capabilities in Data Wrangler | Microsoft Fabric Blog | Microsoft Fabric
Natural Language Interaction Isn’t Magic—It’s Semantic Modeling Done Right
Automatically populate Data Agents with Semantic Model Synonyms
Monitor Power BI & Fabric Capacity with FUAM | Open-Source Admin Tool
Open and edit any semantic model with Power BI tools
Deep dive into selection expressions for calculation groups
Translytical task flows (Preview)
LLMs and DAX: Where Things Stand Today
Prepare your data for AI - Power BI | Microsoft Learn
To set a verified answer, select a visual.
Select the ... menu, and choose Set up a verified answer.
AI data schema:
AI instructions
Verified answers: Enables you to link a question users ask to a specific visual, allowing Copilot to produce a verified answer vetted by a human.
d deliver responses that are consistent, reliable, and aligned with your goals. This not only improves user trust but also accelerates adoption and impact across your organization.
After preparing your data for AI, you can test what your end-users will see through the Desktop Copilot report pane. The skill picker is a tool that gives you greater control over how Copilot responds by allowing you to select specific Copilot capabilities to enable.
Currently, the skill picker includes three capabilities:
Answer questions about the data: Uses Copilot to respond to questions based on a given semantic model
Analyze report visuals: Enables Copilot to interpret and answer questions about the visuals within a report
Create new report pages: Lets Copilot generate new report pages based on your prompts
Standalone Copilot experience (Home): Select Answer questions about the data
Report Copilot Pane - Read Mode: Select Answer questions about the data and Analyze report visuals
Report Copilot Pane - Edit Mode: Enable all three capabilities
Mark your model as prepped for AI
Considerations and limitations
Updates to database development tools for SQL database in Fabric | Microsoft Fabric Blog | Microsoft Fabric
Creating SQL database workload in Fabric with Terraform: A Step-by-Step Guide (Preview) | Microsoft Fabric Blog | Microsoft Fabric
Understanding OneLake Security with Shortcuts | Microsoft Fabric Blog | Microsoft Fabric
Azure Data Factory Item Mounting (Generally Available) | Microsoft Fabric Blog | Microsoft Fabric
Integrating Fabric with Databricks using private network | Microsoft Fabric Blog | Microsoft Fabric
What’s new with OneLake shortcuts | Microsoft Fabric Blog | Microsoft Fabric
How to create a SQL database in Fabric using Fabric CLI | Microsoft Fabric Blog | Microsoft Fabric
Boost performance effortlessly with Automated Table Statistics in Microsoft Fabric | Microsoft Fabric Blog | Microsoft Fabric
Tutorial - Create translytical task flow - Power BI