Human + Machine
summary
Argues that pairing human judgment with AI multiplies practical performance rather than replacing people, and backs that with concrete deployments: financial-services claims-processing and manufacturing maintenance pilots that move from lab to live systems. Describes the tools actually used — deep learning models, robotic process automation and human-in-the-loop workflows — shows reduced error rates and faster throughput, explains how teams retrain models from operator feedback, and notes which pilots scale and which fail.
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