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One year ago, at Microsoft Ignite, we set out to redefine enterprise intelligence with Foundry. Our conviction was clear: software would evolve beyond rigid workflows, becoming systems that reason, adapt, and act with purpose. We envisioned developers moving from prescriptive logic to shaping intelligent behavior. Today, that transformation is accelerating across industries and organizations of…
In this article Another leap forward across Microsoft Databases and Microsoft Fabric Deploy the next generation of Microsoft Databases Getting your data estate ready for AI with Microsoft Fabric Mark your calendar for FabCon and SQLCon Watch these announcements in action at Microsoft Ignite As AI reshapes every industry, one truth remains constant: data is…
Innovation in AI is about empowering every developer and organization with the freedom to choose the right intelligence for every challenge. In today’s landscape, where business needs span from real-time chatbots to deep research agents, model choice is an essential engine of progress. Microsoft Foundry already offers the widest selection of models of any cloud…
Today, we are unveiling the next Fairwater site of Azure AI datacenters in Atlanta, Georgia. This purpose-built datacenter is connected to our first Fairwater site in Wisconsin, prior generations of AI supercomputers and the broader Azure global datacenter footprint to create the world’s first planet-scale AI superfactory. By packing computing power more densely than ever…
When we launched the Secure Future Initiative (SFI), our mission was clear: accelerate innovation, strengthen resilience, and lead the industry toward a safer digital future. Today, we’re sharing our latest progress report that reflects steady progress in every area and engineering pillar, underscoring our commitment to security above all else. We also highlight new innovations…
The path from prototype to production for AI/ML workloads is rarely straightforward. As data pipelines expand and model complexity grows, teams can find themselves spending more time orchestrating distributed compute than building the intelligence that powers their products. Scaling from a laptop experiment to a production-grade workload still feels like reinventing the wheel. What if…