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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
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