The CADP solution allows industries and businesses to autonomously detect and predict most of the seemingly random failures that occur on the production floor for any asset-based industry. This requires modeling for each asset, and the capability to differentiate the normal from the anomaly. When there are hundreds of thousands of assets to consider, building that many models manually are impossible. CADP’s cognitive capabilities accomplish this by teaching machines to learn, much like data scientists would. This is where the concept of meta learning is applied, which empowers machines to digitally capture their experience in running machine learning experiments on data and learn from that to build faster, better predictive models for every asset in an autonomous manner. The CADP solution connects machine sensor data to gain predictive insights which help to predict asset failures before they occur using predictive analytics. It also enhances asset reliability by eliminating emergency incidents thereby reducing maintenance costs and optimize operations with cognitive intelligence.