Powering Predictive Analytics

Aug 23 2017

About this summit

The insertion of big data and data analytics in all aspects of business has powered a surge in predictive modeling effectiveness. However, many theoretical, technical, and programmatic questions still exist. How can we sift through heaps of data to accurately formulate patterns and predictions? Can we trust a machine to teach itself and make business decisions, and how do we present all this information efficiently?

Coming up on this summit

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