Running real-time predictive maintenance for a data management company
To help predict and prevent equipment malfunction, we analyzed ten trillion data points per month from disparate data sources. As a result, the clients saw a 12-times acceleration in time to develop and deploy new AI services, a 50 percent reduction in operating costs, and 90 percent less code needed. Additionally, our work provided the client with insights and predictions for customers regarding their storage capacity and health, all based on real-time data.