Saving costs and time with predictive maintenance

Since developing the aluminum industry over 130 years ago, Alcoa has built a reputation as an industry leader and innovator. Its latest innovation is to practice predictive maintenance on the machines in its aluminum smelters. Now it saves on cost, time and work hours by fixing assets before they become a problem.

“We can actually start to predict the remaining useful life of that machine, by matching up current data that’s coming from the PI System and maintenance data from Oracle eAM. So that can tell you not only what’s going wrong and why, but how long that asset has to live.”

Alexander Hill, Chief Global Strategist and Co-Founder at Senseye


End-to-end visibility of your operations lifecycle, with AI-infused insights that help you optimize your people, processes and assets.

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