In this episode, Naresh Dulam, VP of Software Engineering at JPMorgan Chase, cuts through the AI hype with insights only a seasoned data leader can offer.

This conversation with host Or Zabludowski, CEO of Flexor, dives into:

• The “shiny object syndrome” plaguing AI adoption
• Real-world lessons from failed churn models and bad data
• How metadata and data freshness influence model outcomes
• Strategies to unify structured and unstructured data for GenAI success
• Why semantic layers are critical — and governance is non-negotiable