What Frontier healthcare leaders are doing differently with AI
Frontier Transformation in healthcare means moving beyond AI pilots to redesign workflows with governance, trust, and scalable impact.
If governance is just a list of things people can’t do, that’s not governance—it’s a backlog of workarounds waiting to happen.
Frontier Transformation in healthcare means moving beyond AI pilots to redesign workflows with governance, trust, and scalable impact.
We’re excited to announce Copilot Cowork, the execution layer for Microsoft 365—delegate tasks, coordinate workflows, and stay in control.
We're taking a significant step forward in bringing agentic business applications to life across Microsoft 365, Dynamics 365, and Microsoft Power Platform.
Wave 3 marks a new version of Microsoft 365 Copilot, moving beyond assistance to embedded agentic capabilities.
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.
At HIMSS 2026, Microsoft Dragon Copilot advances unified AI workflows to help clinicians reduce complexity and stay focused on patients.
As organizations accelerate digital transformation, infrastructure decisions increasingly shape how quickly teams can adopt AI, how reliably applications operate at global scale, and how effectively businesses respond to constant change.
When people need support most, speed, dignity, and trust matter. Governments are using AI-enabled identity, evidence, and data to deliver benefits more fairly and efficiently while supporting frontline staff and safeguarding public funds.
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? Slow workflows, error-prone manual reviews, and missed insights.
When AI moves beyond assistance into action, it becomes possible to redesign work itself—not just accelerate pieces of it.