Client Problem Cyient‘s client, a leading laboratory equipment manufacturing company, collects data from their Ultra Low Temperature (ULT) freezers deployed across the globe using multiple sensors. They faced challenges in managing this massive data and could therefore barely use it to identify critical failures in the freezers so that immediate maintenance action could be taken.  In spite of their huge effort, maintenance was always reactive in nature and the company failed to keep the system up all the time. While the data collected from freezers gave indications of past failures and potential issues, often the delay in extracting these issues from the data resulted in increased gravity of failures. The company thus contended with greater maintenance effort and cost. The client targeted early detection of issues and the ability to predict critical failures in advance to significantly improve the reliability of these equipment and customer satisfaction.