Description: Actuaries can serve an important role by exploring modeling and data analysis techniques to discover predictive patterns and relationships.

Description: Profile of an actuary in a non-traditional actuarial role: focusing on medical cost and analysis, both retrospective and prospective.

Description: Summarized description of four books on data visualization and their common themes

Description: Overview on current trends in medical practice impacting the LTC insurance business with a focus on dementia, risk stratification, and predictive modeling.

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: Introduction to population health, a collaborative discipline that seeks to leverage all the determinants of health personal behaviors, medical care and the public health infrastructure, as well as the social and economic context at the community and national level to maximize the health of populations.

Description: Update on Health Section research projects and topics, including new vision and mission statements for the Health Section Council, research and communications projects, and information about the Health Actuarial Research Initiative.

Description: Big data, predictive analytics, machine learning and AI will likely transform the insurance market and the actuarial profession. The actuarial profession is seeing changes many markets, including health and property and casualty. This article describes these trends and provides an introduction into what companies and the Society of Actuaries (SOA) are doing to adapt and capitalize on these trends.