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eHandbook: Data Analytics

Oct. 19, 2023

The pressure is on “smart” manufacturers to collate and interpret the flood of data they get from sensors and software all around the plant floor and make use of it for their industrial operations. This is where AI, machine learning, a cloud environment to archive the information, and the right IT and engineering people come in to help “clean up the data mess on Aisle 2.” They do the heavy lifting of data analytics.

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