Description: Learn how insurers provide new opportunities for efficiency and value creation from product design and underwriting through customer engagement and claims. Glimpse some industry use cases for Gen AI and its outcomes as observed by the first movers.

Description: This webcast will update listeners on the financial status of the U.S. Social Security program, describe half a dozen widespread myths, and discuss the reality of "waste, fraud and abuse" in the program.

Description: ReMark's Global Consumer Study delivers 10 key insights to empower customers. Insurers can design products that meet customers' needs and enhance client experiences and add significant value to their business. At the same time with new products being launched seemingly continuously, it is important to take a step back and assess risk throughout the product management cycle.

Description: In this webcast, two points of view are presented - Seven Life Defining Decisions, which presents an individual perspective on lifetime financial choices, and Life-Cycle Fund Design, which discusses the design of a comprehensive life-cycle fund model that includes human capital risk, longevity risk, bequest motive, parameter uncertainty, and different types of annuities and provides a model for financial risk.

Description: This interactive webcast uses case studies and a new framework to show how retirement plans and practices can be fitted to best serve organizations’ missions and objectives, guided by data and analytics measuring their workforce impact.

Description: IFRS 17 is transforming insurance financial reporting around the world, and Latin American markets are at different stages of adoption and implementation. This webinar will provide an overview of the IFRS 17 standard and explore its practical implications for insurers in Latin America, with a particular focus on current practice and industry experience. This webinar is for actuaries, actuarial teams, and other supporting roles working with IFRI reporting requirements and IFRS 17 reporting standards applicable to insurance products. The discussion will be of interest to actuaries and other professionals working in or with insurance companies, especially in Latin America and other Spanish speaking markets, including those in life, general insurance (P&C), health, and reinsurance. The content is suitable for a wide range of experience levels, from early career to senior practitioners with responsibility for financial reporting, valuation, or risk management under IFRS 17. If you are IFRS implementer regardless of the stage of implementation or an IFRS practitioner, this session is for you! Come learn about the resources from the SOA that can support your work, including an IFRI Certificate that offers a recognition of your skills and knowledge of this area. There will be an opportunity to ask questions in the Q & A part of the session. The webinar will be conducted in English with an option to submit questions in English or Spanish.

Description: This study evaluates how integrating social determinants of health (SDOH) into Medicaid risk adjustment models impacts financial outcomes for ACOs/MCOs, offering foundational insights for policymakers and actuaries.

Description: This document explores how climate change impacts retirement planning, investments, housing, and health across policy and economic dimensions through essays and funded research.

Description: The global doubling of information content has been estimated to occur at a rate of every 12 hours, and conceivably faster. This ‘infowhelm’ is a double-edged sword for insurers. While maximization of the global knowledge base can fuel innovation, it can occur only in the context of reasonable cost for a higher benefit. The insurance industry – underwriters and actuaries in particular – are challenged to constantly examine new innovations that promise to raise confidence and protective value for insurability, within legal limits. This report aims to be the first of several to alert the SOA of promising innovations for the profession.

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.