While the flagship application of enterprise internet of things is undeniably valuable, effective predictive maintenance still takes hard work.
Predictive maintenance is, arguably, the most hyped application of IoT technology currently available to the enterprise user, and it’s easy to understand why: Getting greater insight into industrial machinery, fleets of vehicles or anything else that can be digitally instrumented seems to offer a fairly direct path to savings through lower maintenance costs and less downtime.
But it’s not as simple as just grafting sensors onto existing equipment, according to experts, and reaping the benefits of predictive maintenance isn’t an automatic win for the asset-heavy businesses that can profit most from this IoT implementation.
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