Agentic AI is rapidly reshaping how organizations design, deploy, and govern intelligent systems—but what does it really mean from a leadership perspective?
In this episode of the Chief AI Officer Podcast, we explore Agentic AI through the lens of a Chief AI Officer (CAIO). We break down how agentic systems differ from traditional AI, what they mean for enterprise strategy, risk, governance, and decision-making, and how AI leaders should think about autonomy, orchestration, and accountability in modern AI systems.
Whether you’re a Chief AI Officer, CIO, CTO, data leader, or AI strategist, this conversation offers practical insights into:
What Agentic AI really is (beyond the buzz)
How AI agents impact enterprise architecture and workflows
Governance, risk, and trust considerations for autonomous systems
The evolving role of the Chief AI Officer in an agentic future
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