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This episode examines machine health in manufacturing and why unplanned downtime can be so expensive for a producer. When equipment fails without warning, the costs can be large, so anticipating failures is attractive.
The discussion explains how artificial intelligence can be used to forecast when a machine is likely to fail, allowing maintenance to be planned. It then reviews the kinds of benefits customers have reported, such as lower costs and higher productivity, and looks at what may come next for this type of technology. The approach is presented as a way to keep factory assets running reliably.