Host Tom Stoneman sits down with Dr. Maitreya Natu, Chief Data Scientist at Digitate, to explore one of the biggest questions shaping enterprise AI today: how do you build systems people actually trust? Maitreya has spent his career at the intersection of theory and real-world complexity, turning abstract ideas into AI solutions that run at scale inside some of the world’s largest organizations.

Tom and Maitreya break down the tension between algorithms that work on paper and systems people rely on in high-stakes environments. They unpack why explainability still decides whether AI gets adopted, how enterprises can move from reactive “ticket-driven” operations to proactive, ticketless ones, and why blending traditional AI with agentic AI offers the most resilient path forward.

We also hear how running gives Maitreya the headspace he needs to reset when he’s deep in a challenge. That moment of “thoughtlessness” helps him step back, rethink assumptions, and find better paths through complexity.

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