The Inference

Shri Nandan, VP of AI Products and Experiences at Comcast, joins host Michelle Hawley to discuss what it actually takes to build and scale AI inside one of the largest enterprises in the country. Nandan shares how her team uses agentic frameworks, customer data platforms and cross-functional alignment to drive AI strategy at Comcast. The conversation covers the real costs of scaling AI beyond the pilot stage, how to prioritize ideas using a revenue-cost-KPI-resource framework and why governance has become the most complex part of the job. Nandan also explores where AI delivers the clearest value in customer experience and who bears accountability when AI agents go wrong.

Daniel Wu spent years building AI infrastructure at JP Morgan Chase — including the firm's largest LLM production system and its first agentic AI solution — before moving to Stanford's AI Professional Program. In this inaugural episode of The Inference, he names the measurement trap killing most enterprise AI strategies, breaks down why 88% of organizations experimenting with AI see almost no measurable business impact, and explains why the gap between demo and production isn't a gap at all — it's a canyon.