Microsoft has been named a Leader in the 2025 Gartner Magic Quadrant for Global Industrial IoT Platforms, highlighting its commitment to delivering intelligent, secure, and scalable industrial solutions with Azure.
From Linux kernel code to AI at scale, discover Microsoft’s open source evolution and impact.
We’re proud to announce that Microsoft has been named a Leader in the 2025 Gartner® Magic Quadrant™ for Cloud-Native Application Platforms for a second year in a row, and the furthest to the right in Completeness of Vision.
In our technical guide, “Accelerating Generative AI Innovation with Cloud Migration” we outline how IT and digital transformation leaders can tap into the power and flexibility of Azure to unlock the full potential of generative AI.
Flash enables rapid detection of issues originating from the Azure platform, helping teams respond quickly to infrastructure-related disruptions.
Announcing the public preview of Deep Research in Azure AI Foundry—an API and SDK-based offering of OpenAI’s advanced agentic research capability.
We are thrilled to announce that Microsoft has been recognized as a leader in The Forrester Wave™: Serverless Development Platforms, Q2 2025.
This blog breaks down the available pricing and deployment options, and tools that support scalable, cost-conscious AI deployments.
We’re proud to share that Microsoft has once again been named a Leader in the 2025 Gartner® Magic Quadrant™ for Data Science and Machine Learning (DSML) Platforms.
We’re committed to helping organizations simplify connectivity, modernize legacy systems, and unlock the full potential of AI-powered automation.
We’ve pulled together the top 25 announcements at Microsoft Build 2025 across the Azure business—spanning Azure AI Foundry, Azure infrastructure, Azure app platform, Azure databases and Microsoft Fabric, and our GitHub family.
In this blog, I’ll cover the latest slate of announcements across Microsoft Fabric and the entire Azure Data portfolio, designed to empower every developer on the planet to do more with data.
