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Breaking Down the Barriers Between Model Development and Deployment

January 1, 2017

Models are at the heart of all business decisions. As a result, analytics has become top of mind for the corporate C-suite, and companies are looking to analytics as a key strategic differentiator to drive huge numbers of operational decisions. However, the reality is that it can take months to get a model implemented.

This white paper describes how getting the most out of today’s enormous data lakes requires a factory approach to building machine learning algorithms. By breaking down the barriers between IT and business and automating the mundane, iterative tasks of model building, the analytics factory allows analysts to focus their talents on the creative aspects of model building—that is, figuring out the right questions to ask the models for, ultimately, better business decisions.

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