Microsoft Reactor Stockholm

As organizations increasingly build and consume MCP servers, there’s a growing need for a secure, discoverable, and governed catalog of tools. In this session, we’ll show how Azure API Center can serve as a private MCP registry, making your Logic Apps connectors, Azure Functions, LangChain agents, and other MCP-compliant servers easily discoverable and reusable across your organization.

You’ll also see how MCP support in Azure API Management enables you to expose REST APIs or Logic Apps connectors as MCP servers, secure them with Microsoft Entra ID, API keys, or tokens, and apply monitoring, policies, and governance without rewriting backends. We’ll demo registering tools in API Center and bring external MCP-compliant servers under enterprise-grade control, showing how to maintain security, observability, and discoverability across both internal and external services.

By the end, you’ll know how to create, expose, and govern MCP servers in a way that empowers developers while keeping enterprise-grade control unlocking safer, reusable, and scalable AI-driven integration.

Is your organization combining the power of Snowflake and Microsoft Fabric? If yes, this is the ideal session to better understand the features enabling seamless interoperability and get all your questions answered.

This live, interactive Q&A session will bring together product experts from both Microsoft Fabric and Snowflake to answer your questions on how to most effectively combine these platforms together.

We'll address questions related to features enabling bidirectional data access such as the ability to write Snowflake tables to OneLake, the ability to use OneLake shortcuts to access Snowflake tables, the ability to read OneLake tables directly from Snowflake, and full support for Apache Iceberg format in OneLake.

In this episode, we'll explore tools for measuring the performance of AI language and embedding models. We'll discuss what metrics are important and what factors improve performance.

Every AI development journey begins with model choice. But what if you had a smart model that routed your request to the best model for the job? Join us as we talk to Sanjeev Jagtap about the Model Router – a chat model that optimizes model choice for cost-effective use in Azure AI!