The Trust Paradox: Why Enterprise AI Fails Before It Starts William Foley has watched brilliant AI models die in risk committees. Not because they failed, but because no one could defend them. In the gleaming innovation labs of Europe's largest banks, data scientists are building AI systems that can assess creditworthiness in milliseconds, detect fraud with uncanny precision, and automate compliance workflows that once consumed entire departments. The models work. The accurac
Scaling beyond isolated successes There are interviews that feel transactional, and then there are conversations that feel earned. This one falls firmly into the latter. Greg Steel isn't just an observer; he's spent years embedded in complex, highly regulated enterprises where data is a structural dependency, the very bedrock of operations. Our discussion sidestepped the latest AI hype cycle. Instead, we drilled into the persistent failures: Why do heavily invested organisati
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