The Internet of Things (IoT) continues to develop faster and faster. Therefore, it is no surprise that many industries are wondering how to use incoming data. Think, for example, of data that can be used to improve maintenance activities. In order to optimise this, a platform is needed with which a central approach for these data streams can be rolled out. ServiceNow has found a solution for this.
ServiceNow’s streamprocessing IoT Bridge evaluates live data from devices, based on user-defined rules. These rules ensure that digital workflows are automatically activated. The workflows enable users to collect, view and respond to large amounts of data. By combining real-time device data from the IoT with predictive algorithms, digital workflows can, according to ServiceNow, predict failures before they occur. Needless to say, this will save large amounts of time and money.
Some of the areas in which the IoT is becoming increasingly important are the oil and gas industry, as well as the manufacturing industry and utilities. These are industries where poor maintenance has a disastrous effect, due to the essential products that these industries often supply. Predicting maintenance tasks would, therefore, have a major added value in these fields.
To find out how ServiceNow’s new IoT technology is laying the foundation for predictive maintenance in industrial environments, register below for the whitepaper.