Artificial intelligence in the industrial enterprise
Analytics can deliver insight as to how things are going, but artificial intelligence (AI) doesn’t become a thing until you start using machine learning and semantics for insight.

Automation can improve a process. Productivity can gain from examination of workflows and leading indicators. And analytics deliver insight as to how things are going. But it isn’t till you step over into the cognitive, with things like machine learning and semantics, that the realm of artificial intelligence (AI) is entered.

For the Industrial Internet of Things (IIoT), predictive maintenance of machinery and equipment is the first application demonstrating wide commercial acceptance. “This can be done with classic regression and predictive analytics. With artificial intelligence, however, you go beyond the structured deterministic to the fuzzier stochastic,” said Jeff Kavanaugh, vice president, senior partner, Infosys. “With machine learning based on input such as audio signatures, the computer learns as a human would, by first paying attention to how a machine sounds when it’s healthy and then understanding anomalies.”