As organizations move beyond AI pilots toward enterprise-scale adoption, many encounter fragmented deployments, disconnected workflows, siloed data, and increasing governance complexity. The AI Control Plane is emerging as the orchestration layer that unifies agents, workflows, data, and policy controls into a scalable, reliable framework for AI operations. This session will examine the architecture of modern AI orchestration stacks and explore how cloud platforms, APIs, and developer ecosystems are enabling seamless coordination across multi-agent environments.
Key Discussion Points: - Why current AI deployments remain fragmented and difficult to scale
- Components of the AI orchestration stack: control plane, execution, and governance layers
- The role of cloud, APIs, and developer ecosystems in accelerating orchestration
- Observability, state management, and reliability in multi-agent systems
- How platforms are evolving from infrastructure providers to AI orchestration enablers
- Best practices for building governed, scalable, and enterprise-ready AI ecosystems
