As enterprises push the boundaries of intelligent systems, the shift from standalone AI to multi-agent architectures introduces new challenges: fragmented data, governance risks, and orchestration complexity across hybrid and multi-cloud environments. How can architects design secure, scalable multi-agent systems that move beyond hype to real-world impact?
This session explores a pragmatic framework for integrating autonomous agents while maintaining control, security, and interoperability. Learn how to orchestrate distributed intelligence, enforce governance at scale, and build composable, resilient architectures that unlock tangible business value.
