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 VKTR's The Inference, host Michelle Hawley speaks with Daniel Wu, AI strategy and engineering leader and course facilitator for Stanford's AI Professional Program, about what it actually takes to build and scale AI in the enterprise.
Drawing on his experience leading AI and machine learning for commercial banking at JP Morgan Chase, Daniel shares how organizations can move past the pilot phase and into real, value-driven AI transformation. The conversation covers how to pick the right metrics without falling into the Goodhart's Law trap, why AI literacy is fundamentally a leadership challenge, the most urgent security risks as agentic AI matures and how to distinguish a meaningful capability shift from a flashy demo.