Ten years ago, most enterprises used one end-to-end platform for data, modeling, and production operations. Today, with the rapid pace of innovation of data science tools, combined with the explosion of new analytical use cases, enterprises face an exponential growth in the choice of technologies. Dozens of modeling workbenches. 100’s of combinations of data platforms, types, and structures. 100’s of new data science frameworks. Dozens of new business applications to consume models. Hybrid use of on-prem, cloud, and partner environments. Even the most advanced enterprises struggle. Read more.