Roughly half of commercial insurers say predictive modeling is “essential” for risk selection and rating, according to a new survey from professional services firm Towers Watson & Co., released ...

Corgi Insurance, an AI-native insurance carrier built for high-growth companies, today announced the appointment of Stephen Segroves as Head of Pricing. This comes after nearly two decades of ...

The strategic application of data analytics has become a cornerstone of success in the insurance industry. Data analytics and predictive modeling offer insurance entities a powerful means to identify ...

The challenges and benefits of predictive modeling were the focus of one presentation during Business Insurance‘s 2012 Worker’s Compensation Virtual Conference on Oct. 25. “We want to predict the ...

ARLINGTON, Va., Dec. 13-- The Casualty Actuarial Society issued the following news release: Most actuaries know that predictive modeling -- the harnessing of enormous data sets to do everything from ...

Insurance premium modeling plays a crucial role in setting fair, accurate and competitive premiums in the industry. Actuarial teams, who specialize in risk management, use these models to predict the ...

Massive amounts of data are now accessible in real time. As a result, the insurance industry is rapidly evolving from a risk transfer model toward a more active prediction and prevention model. Thanks ...

SUSSEX, Wis.--(BUSINESS WIRE)--Quad/Graphics, Inc. (NYSE: QUAD), a global marketing experience company, has developed a specialized attitudinal model that helps health insurers drive deeper ...

Akur8, the insurance pricing and reserving solution powered by machine learning, is announcing that it has partnered with the American Association of Insurance Services (AAIS), the not-for-profit ...

In January, the Idaho Department of Health and Welfare plans to launch a predictive analytics model as part of its child welfare program. The goal is to improve case management, reduce unnecessary ...

Predictive analytics allows data professionals to identify trends, forecast outcomes and test assumptions using data. When these capabilities are applied to simulation modeling, they make models more ...