In Forbes, Yuri Gubin, Chief Innovation Officer at DataArt, shared his expert opinion on smart strategies for leveraging AI-powered analytics to drive efficiency, safety, cost savings and more.
“Consider AI for non-mainstream applications outside of predictive maintenance or quality control. For example, use computer vision systems to train workers for new production steps and assembly operations. Workers can quickly get feedback, see where they make mistakes and train independently. The initial cost might be less than you think, and the ROI can be surprisingly impressive if you significantly reduce training time.”
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