In June, Attorney General Loretta Lynch announced “the largest criminal health care fraud takedown in the history of the Department of Justice.” More than 240 people were arrested and charged with stealing $712 million from Medicare. The...
Building predictive models has come to seem like one of the more glamorous jobs in business intelligence and analytics. Successful, high-profile predictive modelers like Nate Silver, founder of the ESPN blog FiveThirtyEight, and Rayid Ghani, chief data...
Imagine that you step into a room of data scientists; the dress code is casual and the scent of strong coffee is hanging in the air. You ask the data scientists if they regularly use generalized additive...
Retention has always played second fiddle to acquisition within marketing – despite the fact that acquiring new customers is far more expensive than retaining existing ones and that the top tranche of customers contributes the vast majority...
Machine learning — supervised and unsupervised — tracks data patterns that help businesses build improved predictive models and make smarter IT decisions. Our data center machines, due to all the information we feed them, are getting smarter....
Predictive modeling use has increased in nearly every business line throughout P&C but is rarely leveraged across the enterprise. Following a growing trend in analytics, North American P&C insurers have increased predictive modeling use across the majority...
A survey of North American insurance professionals reveals widespread use of predictive analytics in the property/casualty insurance industry, with as many as 82 percent responding that they use predictive modeling in one or more lines. Earnix, a...
Predictive modeling offers the key to understanding which healthcare services most affect utilization, readmissions, and payment, and how to tackle the outliers. These analytics are within the grasp of any healthcare system. Somewhere out there, a hospital...
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