Description: The document is a report summarizing key findings from the 2024 Retirement Risk Survey conducted by the Society of Actuaries Research Institute and Deloitte Consulting LLP. It focuses on the impact of family support on retirement planning and readiness among Americans ages 45 to 80.

Description: This article series highlights the growing impact of climate change on health, property, and financial institutions, emphasizing the need for actuaries and risk analysts to evaluate and adapt their practices to manage evolving climate-related risks.

Description: LIMRA, Reinsurance Group of America (RGA), the Society of Actuaries (SOA), and TAI have collaborated on an ongoing effort to analyze the impact of COVID-19 on the individual life insurance industry’s mortality experience and share the emerging results with the insurance industry and the public. The Individual Life COVID-19 Project Work Group (Work Group) was formed as a collaboration of LIMRA, RGA, the SOA, and TAI to design, implement, and create the study and to produce and distribute a variety of analyses. This report is the fifth public release from this collaboration and contains the results of a cause of death analysis focused on how the rates of death for various causes were impacted throughout the pandemic period through the first quarter of 2021.

Description: The document is a quarterly global warming report by the Society of Actuaries Research Institute, providing statistical summaries of global warming trends using ERA5 data. The report compares temperature data from different time periods and highlights warming trends across air and sea-surface temperatures.

Description: This paper offers a technical overview of the mechanics of Generative AI, with several actual examples throughout. It is intended to be a practical introduction to the concept, not a comprehensive view.

Description: This report is a technical paper on a Predictive Analytics Framework and Reusable Workflow for Experience Analysis in actuarial studies. It covers data analysis, machine learning models, methodologies, and model interpretation techniques.

Description: This article series highlights the growing impact of climate change on health, property, and financial institutions, emphasizing the need for actuaries and risk analysts to evaluate and adapt their practices to manage evolving climate-related risks.

Description: The cost of prescription drugs is top of mind for consumers, payers and policymakers. Despite legislative efforts, such as the Inflation Reduction Act, the problem remains. More than 30% of all Americans say they have not taken prescription drugs as prescribed in the last 12 months because of the expense. The purpose of this paper is to discuss an alternative to policy solutions: reimagining pharmacy financing in the commercial space using a value-based reimbursement methodology that increases transparency, encourages competition, aligns stakeholder incentives and mitigates total cost of care (TCOC) increases. This paper will demonstrate that it is possible to implement such a methodology under the current infrastructure, but one can identify limitations.

Description: The document is a collection of essays titled "The Impact of Artificial Intelligence on Retirement Professionals and Retirees" published in August 2024 by the Society of Actuaries Research Institute. It explores the implications of AI and large language models on retirement planning, providing insights and discussions on the topic.

Description: An in-depth analysis of the insurance landscape in China and seven key Asia Pacific Markets, focusing on the rapid development of critical illness products and the impact of technology on insurance purchasing behaviors.