The danger of ‘analysis paralysis’

Is "garbage in, garbage out" really the problem with AI in operations, or are we just overthinking it? In this discussion, the panel unpacks why so many enterprise teams get stuck in analysis paralysis when adopting AI, and why treating AI like every technology that came before it misses the point. The key difference? AI has a level of intelligence, which changes how you should brief it. The analogy at the heart of the conversation: you wouldn't hand a new graduate a keystroke-by-keystroke script for writing a document. You'd give them the goal and a policy, then let them work. AI is no different. Over-specify it and you've just rebuilt a specialist system. Under-brief it and you'll wonder why it failed. The takeaway is that getting value from AI starts with understanding how your people actually work, then pitching the task at that human level. A practical look at AI adoption, operational readiness, and why foundations come before results.