The volume of data has increased enormously over the last years. Increasingly, data is arising from the use and maintenance of machines. Structural analysis of this data can help in predicting when a machine or system will malfunction. This enables smart maintenance planning which can often be done prior to the device breaking down. Predictive maintenance, in other words: better, less and more timely maintenance.
Businesses that rely on predictive maintenance enjoy all kinds of additional benefits. It is not only becoming easier to predict remotely when a machine will need maintenance, but the maintenance itself can increasingly be done remotely. Possibly even automatically, with all the benefits (risk management, cost savings) that this entails. Download the whitepaper using the form below.