Many organizations have successfully built their first AI proof-of-concepts, but scaling AI into a secure, governed, and production-ready platform requires much more than connecting to a model endpoint. This session explores how AI workloads fit into an enterprise Azure environment Agenda: Why AI workloads require a different infrastructure approach Azure AI Foundry's role in the enterprise AI platform Azure Landing Zone vs. Azure AI Landing Zone API Management as an AI Gateway Security, governance, token quotas, and observability Reference architecture for enterprise AI workloads
