In many industrial companies, maintenance processes have been invariably managed for decades, sticking to equipment manufacturers’ recommendations, warranty terms and time-based schedules. Technology progress made this reactive, descriptive approach outdated.

Thanks to the Internet of Things and embedded sensors, companies can now leverage condition-based processes and start to define proactive plans based on asset’s actual status and maintenance needs.

Predictive maintenance takes a step further: when asset data are collected and spooled in real-time, advanced analytics can be performed to better monitor equipment performance, identify vulnerabilities and risks that might impact operations and business workflows. By applying machine learning techniques, these insights can become part of a continuous improvement process and enable accurate predictions.

How can your company evolve from reactive to prescriptive maintenance, and how to enable a smarter asset management strategy? Download our latest white paper and don’t hesitate to contact us for further details.