New York-based IBM and Texas-based SparkCognition and NI have announced a collaboration to increase the efficiency of industrial machinery using a combination of Industrial Internet of Things (IIOT) and machine learning. This new collaboration aims to provide software that can predict component failures before they occur, identify suboptimal operating conditions and assist with root-cause analysis.
The collaboration hopes to create a ‘Condition Monitoring and Predictive Maintenance Testbed’ which is being designed to deliver an increased level of interoperability among operational technology and informational technology. This is becoming particularly important as organisations search for better methods to manage and extend the life of aging assets in heavy machinery, power generation, process manufacturing and a variety of other industrial sectors.