AI is only as useful as the context it can reason over. With Fabric IQ now generally available in Copilot, you can ask questions of your enterprise data and get
Microsoft introduces Fabric IQ in Copilot and new Fabric tools to integrate trusted enterprise data into AI workflows, aiming to make AI more practical for daily business use.
Microsoft announced Fabric IQ in Microsoft Copilot Chat and Cowork is now generally available, enabling users to query enterprise data with trusted business context directly within Copilot. The feature integrates organizational knowledge and data governance into AI interactions, reducing the need for manual data connections. By grounding responses in verified enterprise data, Fabric IQ aims to minimize inaccuracies and improve decision-making in daily workflows.
Power BI Apps, entering preview in the coming weeks, will allow users to build operational applications using natural language queries against trusted semantic models powered by Fabric. This shift reduces reliance on traditional development processes, enabling non-technical users to create functional tools from existing data models. The preview targets teams seeking faster, more intuitive ways to operationalize insights without extensive coding or IT support.
The new Database Hub in Fabric, now in preview, consolidates monitoring, governance, and management of database estates into a single experience. It provides a centralized view for administrators to oversee performance, compliance, and security across diverse database environments. This tool is designed to simplify database administration by reducing fragmentation and improving visibility into critical infrastructure.
SQL Server on Azure Local is now generally available, offering customers the ability to run workloads closer to their operations while maintaining control over data residency. This service provides flexibility for organizations with strict data sovereignty or latency requirements, enabling localized processing without sacrificing cloud benefits. It addresses the need for hybrid deployments where data must remain on-premises or in specific regions.