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This article focuses on Gill Haus's strategy at Chase, emphasizing a shift from hiring engineers solely for code generation to prioritizing agentic AI integration, process reimagining, and the security of reliable outputs. The core argument is that as AI agents handle routine coding tasks, human roles must evolve toward defining what code to write and managing complex operational workflows rather than just writing syntax.

Surse care acoperăZDNet, SiliconANGLE, Quantum Zeitgeist

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This CIO doesn’t ‘hire engineers to write code’: 3 AI fundamentals he prioritizes instead

ZDNet11 septembrie 20267 min de cititArticolul și perspectiva sunt în engleză.

Gill Haus explains Chase’s approach to AI – and getting the core fundamentals right.

Agentic AI shifts professionals’ responsibilities. Embed agents deep into operational processes. Secure services and reliable outputs are crucial. Evidence suggests that delivering value from AI is hard. With 91% of professionals saying their firm still falls short on AI, business leaders and professionals have lots of work to do to ensure emerging tech explorations become useful production services. Gill Haus, chief information officer at Chase, the consumer banking arm of JPMorgan Chase & Co, recognized that creating value in the age of AI is about much more than deciding to implement a hyped-up model or service. “Saying that you’re going to be efficient by putting a target in place is not the same thing as reimagining your processes through an agentic lens,” he told ZDNET. Haus said it’s…

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