Insurance relies on the ability to predict future claims or loss exposure based on historical information and experience. However, insurers face an uncertain future due to spiraling operational costs, escalating regulatory pressures, increasing competition and greater customer expectations. More than ever, insurance companies need to optimize their business processes. But
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Putting predictive analytics to work.
Behind the scenes in natural language processing: Overcoming key challenges of rule-based systems
Today’s natural language processing (NLP) systems can do some amazing things, including enabling the transformation of unstructured data into structured numerical and/or categorical data. Why is this important? Because once the key information has been identified or a key pattern modeled, the newly created, structured data can be used in
10 reasons to learn SAS code even when you have Enterprise Guide
New York City Mayor, Michael Bloomberg made a new-year's resolution to learn code. Apple’s Steve Jobs said, “I think everybody in this country should learn how to program a computer because it teaches you how to think.” President Barrack Obama said, "Don't just buy a new video game, make one.