『What It Really Means to Build an AI-Native Bank at Scale』のカバーアート

What It Really Means to Build an AI-Native Bank at Scale

What It Really Means to Build an AI-Native Bank at Scale

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The question banks are grappling with is no longer whether to modernize — it's whether their new operating model is the right one. In this episode of "Emerald Exchange: Orchestrated Intelligence, Decoded," host Richelle Carey speaks with Don Duet, Chief Enterprise Technology Officer at FIS, about what it takes to build an AI-native enterprise at the scale of global financial services. The conversation covers why AI-native transformation begins with governance; what a new enterprise operating model looks like; how banks can turn siloed transaction data into real-time insight; and how to create guardrails for AI that can act, not just advise. Produced by Reuters Plus for FIS. Chapters: 00:00 – Introduction: Don Duet, Chief Enterprise Technology Officer at FIS 01:30 – Defining an AI-native operating model 02:44 – Building governance without creating bureaucracy 03:51 – How AI-native companies differ from traditional fintech 04:56 – Turning transaction data into a strategic asset 07:23 – Understanding agentic AI and autonomous decision-making 9:59 – Scaling technology for banks of every size 12:45 – The five-year vision: becoming a platform company 14:03 – Closing thoughts on the future of banking infrastructure
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