AI + machine learning

We’re bring attendees together to share real experiences and solve challenges side-by-side. Only together can we move into meaningful results.

Microsoft combines accelerated computing with cloud scale engineering to bring advanced AI capabilities to our customers. For years, we’ve worked with NVIDIA to integrate hardware, software and infrastructure to power many of today’s most important AI breakthroughs.

Discover how cloud modernization and agentic AI are accelerating migration across healthcare, financial services, and manufacturing.

We’re announcing the public preview of Fireworks AI on Microsoft Foundry, bringing high‑performance open model inference into Azure.

Today we’re introducing “The Shift” podcast, an evolution of “Leading the Shift,” to share more dialogue. Grounded in questions we heard from you after announcements at Ignite, we’re releasing eight episodes this spring.

Customers are on the hunt for smarter models, more capable agents, and market-ready solutions to operationalize AI workflows.

Today, we’re announcing OpenAI’s GPT‑5.4 to be generally available soon in Microsoft Foundry: a model designed to help organizations move from planning work to reliably completing it in production environments.

Enterprises today face a familiar yet formidable challenge: mountains of documents -contracts, invoices, reports, forms – remain locked in unstructured formats. Traditional OCR (optical character recognition) captures text, but often struggles with context, layout complexity, or multilingual content. The result?

Microsoft Sovereign Cloud’s expansion of capabilities includes Azure Local disconnected operations, Microsoft 365 Local disconnected, and Microsoft Foundry addition of large model and modern infrastructure capabilities.

Claude Sonnet 4.6 is available today in Microsoft Foundry, and it is designed for teams who want frontier performance across coding, agents, and professional work at scale.

Learn about an AI-powered experience launched as a minimum viable product to gather real user feedback and iterate rapidly.

As the demand for AI and data-intensive computing is on the rise, the need for efficient and reliable power delivery is critical.