Powering Predictive Analytics

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?

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Deep-dive into approaches for integration, preparation, and organization for accurate prediction models needed to prevent and manage risk.

Discover new methods and use cases for machine learning and A.I. to analyze data at rates more than humanly possible.

Learn about effective strategies and tools that prepare and present data for optimal human understanding.

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