Data is growing at an exponential pace and the need to manage this data at the core and edge is a multi-facet problem. New innovative methods to ensure data availability & utilization of the resources that store this data are being developed. Storage device health monitoring & utilization is one such issue. Developing models to predict drive degradation while using machine learning principles is highly desirable. A recent Google blog described the machine learning techniques being used to promote & improve drive maintenance of their fleet.