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AI That Works: From Pilots to P&L

A candid discussion about moving AI beyond promising pilots: confronting total cost, data readiness, operating-model change and a real measure of business value.

Deepali Puri and  Reem Seghairoun (Moderator) and Chris Barbin, Gurvendra Suri, William Fleder, Glenn Weinstein, Sanjay Gidwani

Key takeaways

  1. 01

    A proof of concept is not a business case until operating and delivery costs are understood.

  2. 02

    Data governance is a core production constraint, not a late-stage implementation detail.

  3. 03

    Value comes from growth or margin created with released capacity, not efficiency alone.

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