Iguazio

To make our client’s machine learning vision become a reality, we used robust engineering, scaling, and MLOps automation capabilities to develop a solution that enabled a faster and easier deployment-to-production process. As a result, the client saw a 12-times acceleration of the data science process—going to 30 days from 12 months. The solution also enabled the continuous rollout of new AI services in a fraction of the time and effort it took before, enabling the client to continuously infuse the organization with cutting edge innovation.

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.