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Learn to build an AI quality control system that can detect manufacturing anomalies before they become costly problems, similar to what Ford needed to prevent their AI quality issues.
Ford had to hire back former engineers to fix mistakes made by its automated systems, highlighting the challenges of over-relying on automation in manufacturing. The automaker is now emphasizing the importance of human oversight in its drive toward greater automation.
