Capital One's AI lab-to-production gap revealed

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.