Description: The chairperson for the marketing and distribution section discusses the section welcome call and outline future topics and themes for the year head.

Description: Carol McCall led three teams – predictive analytics, health economics and outcomes research, and personalized medicine. The “river running through them” was that they all leveraged data. Her predictive analytics team eventually built a broad portfolio of models with some of them having a significant impact on Humana’s top and bottom lines.

Description: question and look for ways to make improvements on things by making them more efficient and intuitive. Mehmud did not study actuarial science in school. He earned a degree in mathematics and physics while taking courses like Asian history and skeptical thinking. In retrospect, he said, his exposure to a liberal arts education allowed him to view problems with a multifaceted perspective.

Description: Meet Nathan Pohle. Nathan is part of a new wave of actuaries bringing diverse perspectives to change the game in life insurance. Armed with an MBA and unique analytics experience in the sports industry, Nathan is harnessing key learnings from Silicon Valley to help life insurance companies tap into the power of predictive analytics in new ways.

Description: Career changes typically follow a major milestone—a promotion, a job offer, a new degree, maybe a cross-country move. For Patrick Getzen, exposure to some new perspectives ignited a shift.

Description: A drive to push through the fear of failure is one of the traits that separates successful entrepreneurs from the pack. And as Nazir Valani learned early in his career, that drive is especially important when doubts come from people he looked to for encouragement.

Description: View 2018 Kaggle Involvement Program Results.

Description: The Society of Actuaries (SOA) is pleased to bring you information about the actuarial career path in life insurance and predictive analytics. We’ll continue to share more about actuaries who are tackling some of the industry's biggest challenges and top employers in life insurance.

Description: Data is everywhere. Health care generates as much as 30% of the world’s data, and new technologies are changing how life insurers analyze consumer information. Actuaries are business-savvy problem solvers. They understand how to leverage the latest technologies and techniques to turn data into actionable insights and solutions for businesses and can communicate those findings to multiple audiences. SOA-credentialed actuaries use predictive analytics to inform organizational and business strategies, with efforts such as identifying chronic conditions in their early stage or determining stress levels through sweat patterns.