6:00 odp. - 7:00 odp. (UTC)

Most modernization projects don't stall because of technology. They stall because real-world applications depend on things that are difficult to rebuild: custom software, legacy dependencies, specialized configurations, and years of accumulated business logic. In this session, we'll examine how to modernize existing applications with less disruption, reduce migration risk, and prepare workloads for the next generation of AI-powered experiences. Modernization isn't the finish line—it's what makes AI possible.

6:00 odp. - 7:00 odp. (UTC)

As organizations move from AI applications to autonomous agents, governance must extend beyond models to the tools, APIs, and data agents can access. Learn how AI Gateway helps organizations publish and govern MCP servers, secure agent-to-tool interactions, enforce runtime policies, and gain visibility into agent activity. See how to establish trusted access to enterprise systems for agents while maintaining security, compliance, and operational control across your AI ecosystem. App Service documentation

6:00 odp. - 7:30 odp. (UTC)

Building AI applications means running demanding workloads on the right hardware, at scale, without adding operational drag. This session covers what's new in AKS for teams building and running AI apps and agents, and how the latest capabilities help you get more out of your infrastructure while keeping day-to-day operations manageable. You'll learn how to: - Run AI and data-intensive workloads across a wider range of accelerators, with better visibility into how they perform and where you can tune them - Scale multi-service and agentic applications across clusters and fleets, with more efficient access to the compute you need - Automate upgrades, rollouts, and configuration across your estate with more control and less risk - Connect AKS to the broader Azure AI stack to move from model to production faster, with identity and security built in Whether you run a single cluster or a large fleet, you'll leave with a clear picture of where AKS is headed for AI workloads and how to put these new capabilities to work.

8:00 odp. - 9:00 odp. (UTC)

AI agents need to run code, call APIs, and fan out in parallel - but doing that safely at scale is hard. This session shows how to build agentic workloads on hardware-isolated, sub-second, disposable compute that agents can provision themselves. Watch a live research-agent swarm spin up a fleet of secure sandboxes in parallel, run real work in true isolation, and tear it down automatically - with keyless auth throughout. Powered by Azure Container Apps Sandboxes. You'll learn • Why untrusted agent code and multi-agent fan-out break traditional container/VM approaches • The pattern for safe, ephemeral, per-agent compute: isolation, instant start, scale-to-zero, snapshot/resume • How agents can self-provision compute as a tool to extend their own capabilities • Controlling blast radius with hardware isolation, egress policies, and keyless managed identity • A working orchestration pattern for parallel agent swarms you can adapt to your own workloads