10 Ways AI Is Improving Manufacturing In 2020

AI Is Core To Manufacturing's Real-Time Future

Capgemini's research team found that predicting when machines/equipment are likely to fail and recommending optimal times to conduct maintenance is the most popular use case of AI in manufacturing today. General Motors analyzes images from cameras mounted on assembly robots, to spot signs and indications of failing robotic components with the help of its supplier.

. Nokia launched the video application that uses machine learning to monitor an assembly line process in one of its factories in Oulu, Finland. It alerts the operator of inconsistencies in the process so that issues can be corrected in real time. Please see the articleAnalyzing images in real-time to complete product quality inspections in the automotive and consumer products industries also helps manufacturers stay in compliance with stringent regulatory requirements.

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