Enterprises pay a steep price for errors in their manufacturing process, both in terms of direct costs (like recalls and returns) and indirect costs (like damage to their brand). Learn how one manufacturer that spent millions of dollars annually on pipeline maintenance used DataRPM Cognitive Detection and Prediction to identify anomalies and prevent costly errors before they manifested.