AI Adoption Was the Easy Part. Now Comes the Hard Decision.

Episode notes

For the last two years, the conversation has been about getting AI into the enterprise. That chapter is starting to close. Now comes the harder part. Where should AI go first? Which problems are actually worth solving? And how do you build enough trust that people are willing to let AI move from answering questions to taking action? In this episode of the AI Proving Ground Podcast, Brian Feldt is joined by WWT's Walton Smith, Google's Ahmed Ali and Dell's Suri Durvasula for a thoughtful conversation about what comes after adoption. They explore why organizations get stuck chasing possibilities instead of outcomes, how agentic AI is reshaping security and governance, and why the strongest AI strategies start with a clear understanding of the work that matters most. Along the way, they challenge the idea that AI success comes from choosing the right model. Instead, they make the case that success depends on connecting data, infrastructure, governance and people into a system that works together. AI can make almost anything faster. Deciding what deserves AI in the first place is still a leadership decision.

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