Revolutionizing Manufacturing With Predictive Maintenance Analytics

Industrial machines generate billions of data points every year. Somewhere, hidden in all that noise are the critical signals that pinpoint the possibility of partial or complete machine failure. Identifying the series of datapoints that indicates your multi-million dollar machine is about to break down can help you prevent downtime, additional costs and long term damage. However, without an automated solution, it’s like finding a needle in an unimaginably large haystack. With effective insights into the health of machines, manufacturers can solve issues before they get serious, and potentially save millions of dollars a year in repair costs and help extend machine lifetimes. The Industrial IoT market is worth trillion and predictive maintenance can help companies save $630 billion over the next 15 years. But to realize these savings…


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