Description: Read how the world’s largest provider of specialty insurance for classic vehicles uses its media department’s YouTube videos to its full advantage.

Description: The document explores how AI-supported underwriting influences mortality slippage in accelerated underwriting and evaluates real-world applications, risks, and industry impacts.

Description: Explore the findings from the research paper recently released by Milliman and the SOA, highlighting the growing need for support of informal/family caregivers. We will discuss both quantitative and qualitative data that illustrates not only the cost and burgeoning need, but the mental/emotional stressors that come along with this work.

Description: This report outlines a framework for interpretable machine learning algorithms for detecting fraud in health insurance. It discusses the challenges of using black-box machine learning models in the insurance industry and proposes various interpretable methods to enhance transparency and understanding.

Description: The SOA Research Institute Aging and Retirement Strategic Research Program and Retirement Section are pleased to make available a research report that examines megatrends and potential paradigm shifts, and how they may impact the future of retirement and retirement plans, as well as the macro forces that will shape those trends.

Description: This study presents a comprehensive approach of real option analysis to climate adaptation policies aiming to mitigate flood risk. The framework focuses on pricing catastrophic risk in coastal regions, allowing for economic growth and uncertainty in the mean sea level rise.

Description: The session will talk about Management expectation and key development areas of Big Data, overview of big data application in the life insurance industry.

Description: Learn industry best practices including challenges faced by retirees, such as needing exposure to growth, most exposed to sequencing risk, and the need for smooth returns to avoid poor investor behavior caused by risk aversion. Other topics will include how to set investment objectives which consider the members’ real-world needs and how to build portfolios and implement risk management strategies to meet those objectives. The speaker will provide real-life examples/case studies.

Description: Mr. Zhao stressed that the CBRC adhered to the national principles of risk-oriented, problem-oriented, and openness-oriented, and remained fully mobilized and united to the benefit of the insurance industry. The CBRC overcame the difficulties of the epidemic and pushed forward the C-ROSS Phase II project.

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.