WEDNESDAY,
JANUARY 14, 2026
In today’s competitive industrial environment, maximizing uptime and safeguarding assets are key priorities for business owners and operations leaders. Unexpected machine failures and unplanned downtime can disrupt output, erode profit margins, and reduce customer satisfaction. According to research, unplanned downtime in industrial settings can cost companies hundreds of thousands of dollars per hour across sectors like energy and manufacturing. Predictive maintenance powered by the Internet of Things (IoT) and analytics is rapidly becoming an essential strategy for operators who want more than traditional reactive or calendar-based approaches. Instead of waiting for machines to fail or servicing them on a fixed schedule, predictive maintenance offers a data-driven way to determine when equipment needs attention — significantly improving performance and lowering operational risk.
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