4:30 AM - 5:30 AM (UTC)

The Azure AI Agent Service allows you to build semi-autonomous software that can be given a goal and will work to achieve that goal without you knowing in advance exactly how it's going to do that or what steps it's going to take. This is a powerful tool for automating tasks and processes that are too complex to be easily automated with traditional software.

4:30 AM - 5:30 AM (UTC)

Explore how Azure AI Foundry seamlessly integrates with agents to create intelligent, responsive systems. We'll open up the session with Thermo Fisher who has created a multi-agent system to query across a vast store of disparate data. Marco and Mads will then walk you through the new Agent Service, offering practical examples and best practices for implementing AI agents in various business contexts.

4:30 AM - 5:30 AM (UTC)

Deploying AI-enabled applications involves an application or microservice interacting with a LLM inferencing endpoint. Microservices architectures and a cloud native approach is ideal for hosting your intelligent apps. This session demonstrates how you can use Kubernetes and cloud-native tools to reduce operational overhead in building and running intelligent apps.

4:30 AM - 5:30 AM (UTC)

Learn cloud deployment with GitHub Copilot for Azure—your ultimate guide to streamlined cloud success. Begin by building a strong foundation to boost coding efficiency, then transition to effortless application deployment, leveraging Azure’s powerful scalability. Conclude with advanced troubleshooting techniques to ensure your applications are reliable and high performing. With Copilot as your trusted assistant, you’ll confidently create, deploy, and manage top-tier applications, enhancing your cloud expertise at every stage.