As enterprise interest in AI accelerates, many organizations are discovering that success depends far less on models and far more on the systems that surround them. In this episode, Scott Weiner joins the conversation to unpack what actually changed in enterprise AI over the past year, including the rise of agent-based systems, the growing importance of infrastructure and data readiness, and why governance and risk management are now business-critical concerns, not just IT issues.
The discussion explores why AI often amplifies existing organizational strengths and weaknesses, how misplaced trust in automation can introduce new risks, and what enterprise leaders should be thinking about as AI moves from experimentation to business-critical operations.
