Microsoft Fabric gets enhanced AI development and data integration features

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Microsoft Fabric gets enhanced AI development and data integration features

Microsoft Fabric is introducing new tools to streamline AI application development and enhance data integration. These updates aim to boost productivity for developers, analysts, and data scientists while simplifying data access through a catalog. New features include autonomous database provisioning and advanced AI functions like vector search and retrieval-augmented generation.

The integration of Azure AI embedding models and a Fabric Copilot for natural language queries enhances the user experience. Additionally, the OneLake Catalog provides a unified platform for data management and governance. Upcoming features will further improve data quality and compliance, solidifying Microsoft Fabric's role in the AI landscape.

• Microsoft Fabric introduces tools for streamlined AI application development.

• New features enhance data integration and security for developers and analysts.

Key AI Terms Mentioned in this Article

Vector Search

Vector search allows data representation as high-dimensional vectors for advanced AI functions.

Generative AI

Generative AI capabilities in Fabric enable text-related tasks with minimal coding.

AI Functions

AI Functions in Fabric facilitate tasks like summarization and sentiment analysis.

Companies Mentioned in this Article

Microsoft

Microsoft's Fabric platform integrates AI tools to enhance data analytics and application development.

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