In every industry and across the world, companies driven to improve reliability at their facilities are testing and investing in new ways to optimize their assets. Their efforts are paying off in greater uptime, efficiency, safety, and cost savings. Experts at seven different industrial companies describe their PdM and RxM progress, including successes that are helping keep their programs alive. Here are their stories, followed by some examples of AI enabling solutions.

SparkCognition VP of Oil & Gas explains how AutoML opens up the full potential of predictive maintenance to the oil and gas industry. Auto ML platforms help organisations scale predictive maintenance projects by ingesting operational sensor data and automatically build machine learning models that predict the operating state and remaining useful life of a given asset. This reduces the time required to create models by orders of magnitude.