
AI programs in financial services don't fail at the model; they fail at the seam between pilot and production, where data, integration discipline, and ownership decide whether anything reaches scale. In this episode, Jeremy Caine, Technology Strategy and Solution Leader at IBM, unpacks why banks and insurers get stuck in pilot purgatory and what an AI-native future state actually looks like in a regulated environment. The conversation covers a data product strategy that surfaces the data that matters for the use case, the industrialized software delivery lifecycle required to move AI into production, a platform-led architecture built on open foundations and automation, and the operating model shifts senior leaders need to make to convert AI investment into durable business capability. Learn how brands work with Emerj and other Emerj Media options at http://go.emerj.com/partner
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AI‑Ready Underwriting Operations While Maintaining Decision Consistency - with Barbara Stacer of Utica National Insurance Group

Turning Infrastructure from Bottleneck to Business Enabler for AI - With Juan Orlandini of Insight

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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