AI agents are proliferating across organizations, built by different teams, on different tools, across multiple clouds. The result? Fragmentation, rising costs, and a growing governance gap that makes AI harder to scale than to start.

This session explores why openness is emerging as the defining principle for AI, and how leading organizations are building open, hybrid systems that avoid lock-in while bringing order to agent sprawl.

You’ll learn how to orchestrate agents across frameworks, clouds, and business units, with a centralized control plane that provides visibility, governance, and optimization at scale.

We’ll cover practical approaches to:

• Design an open AI architecture that works with your existing ecosystem
• Govern and monitor agents consistently across environments
• Move from fragmented pilots to production-scale systems
• Maximize ROI while maintaining flexibility and control

Join us to see how to turn AI from disconnected experiments into a scalable, governed, and open enterprise system—without sacrificing innovation or becoming locked into a single platform.