
AI infrastructure projects are failing not because the technology underdelivers, but because organizations commit capital before establishing the business case. In this episode, Juan Orlandini, CTO at Insight, examines why enterprise AI programs stall and outlines how leaders can apply decades of established IT investment discipline to evaluate, validate, and scale AI initiatives with measurable outcomes in mind. The conversation covers organizational change management across employee adoption segments, the application of FinOps principles to AI infrastructure spending, and a minimum viable proof of concept approach for validating AI investments before scaling. Learn how brands work with Emerj and other Emerj Media options at http://go.emerj.com/partner.
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How the AI-Native Bank Stops Adding Pilots and Starts Industrializing - with Jeremy Caine of IBM

AI‑Ready Underwriting Operations While Maintaining Decision Consistency - with Barbara Stacer of Utica National Insurance Group

How Intelligent Systems Accelerate Enterprise Decisions - with Amar Akshat of Paysafe

How AI Is Reshaping Regulated Professional Workflows - with Steve Hasker of Thomson Reuters
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