- * In the healthcare sector for curing diseases, reducing medical costs, predicting and managing epidemics, and maintaining the quality of human life by keeping track of large-scale health index and metrics. - * In the financial industry to assess risk, build investment models, and create trading algorithms- * In the retail industry to analyze structured and unstructured data to understand and serve their customers, fraud detection and prevention, inventory forecasting, etc. - * In the telecom industry to store massive volumes of communications data which provides certain benefits like network traffic analytics, infrastructure planning, etc.