The Agentic Gap: What Enterprises Think vs. What Actually Works With Jeff Dalton
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The Agentic Gap: What Enterprises Think vs. What Actually Works With Jeff Dalton
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About this listen
In this episode of AI Explained, we are joined by Jeff Dalton, Head of AI and Chief Scientist at Valence.
Jeff has spent two decades at the intersection of research and industry, from building early conversational search benchmarks at Carnegie Mellon and Microsoft to leading the AI behind Nadia, Valence's purpose-built enterprise coaching assistant. He discusses the fundamentals of agentic system design that still hold from classical AI theory, why evaluation has to come before the prompt, how he approaches memory as a first-class object in coaching systems, and the defense-in-depth approach to guardrails that keeps complex agents safe across diverse enterprise deployments.
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