For decades, industrial control systems have been generating enormous volumes of data, but in many cases that data hasn’t been fully employed to help companies reduce operating costs, improve reliability, and increase productivity—three goals that amount to the holy grail of manufacturing.
Until recently, the path forward has been blocked by insufficient compute power, storage, and machine learning technologies to allow companies to harness the richness of the data they generate.