S7 | Ep 22 | Getting AI out the Sandbox and into Production with Chris Pearce, Chief Data & AI Officer, Ageas
About this episode
Kyle Winterbottom interviews Chris Pearce about the challenges of moving AI from proof-of-concept to live production.
In Episode 22 of Season 7 of Driven by Data: The Podcast, Kyle Winterbottom is joined by Chris Pearce, Chief Data and AI Officer at Ageas, where they discuss why so few organisations manage to get AI out of proof-of-concept and into live production. Chris makes the case that this is a structural and operating model problem rather than a technical one, and that the businesses which crack it are the ones that understand their own commercial engine intimately enough to know exactly which decision they are trying to change. Drawing on a 250-person function spanning data engineering, data science, AI engineering, infrastructure and governance, Chris walks through real deployments into Ageas's contact centres, how the value of those deployments is measured and attributed to the P&L, and why the risk conversation with a board is far more winnable than most data leaders assume. They also discuss: Why rolling out Copilot licences bears no resemblance to putting LLMs into front-end production systems touching customers in real time. What the full cross-functional cast actually looks like, from SRE and infrastructure to UX, middleware developers, AI engineers, business SMEs, risk, legal…
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