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Capital One found AI prototypes often fail in production due to poor system integration and lack of real-world validation. Engineers report that moving from lab experiments to scalable systems requires disciplined R&D, clear metrics, and accountability at each stage. The gap stems from untested assumptions and insufficient feedback loops between research and deployment.
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