Description: The Society of Actuaries (SOA) Board of Directors (Board) gathered in Chicago March 16–17 for its first meeting of the year. Among key topics on the agenda were the FSA pathway evolution update, Board elections, strategic planning and the use of AI in the workforce.

Description: Let your colleagues know about your company's active subscription to the Corporate Recording Library Subscription Program

Description: Welcome to the future of insurance, for actuaries and non-actuaries! Discover how cutting-edge AI models are revolutionizing underwriting, risk assessment, and customer experience for the insurance industry. Experts in management consulting and actuarial consulting firms will provide valuable insights into the consideration and challenges surrounding the adoption of Generative AI.

Description: This report provides insights into statistical methods for imputing race and ethnicity in the context of insurance industry disparities. It discusses various imputation techniques, performance metrics, and the evolution of methods over time. The aim is to address the lack of consistent data collection on race and ethnicity in insurance datasets.

Description: What are insurance companies promoting in the market? How are they framing their products and services? What is their value proposition to producers? Members of the SOA Marketing and Distribution section receive an exclusive benefit that addresses these questions.

Description: Explore SOA Societal Purpose by topic and navigate to articles, research, and studies that are driven by a strong sense of societal purpose.

Description: The Group Life COVID-19 Mortality Survey Report Series gathers a high-level view of U.S. group term life insurance mortality experience since the onset of the COVID-19 pandemic. These reports measure results in total and by broad age group, industry category, geographic region, and cause of death.

Description: Distribution channels matter because they impact how products reach the clients, client experience with the company, and are a key driver in total company performance. Think about this, the pricing actuaries could design innovative products that meet client needs, but without distribution channels communicating the right messages to the clients and addressing their questions, the products probably would not sell.

Description: Review the syllabus for the August 2024 Introduction to General Insurance (GIINT) Exam.

Description: This Q&A article discusses the use of machine learning to analyze unstructured data. Supriya Ramachandra, a data scientist at SIKKA, explains how her team uses natural language processing techniques, technical aspects of neural networks, LSTM modeling, and natural language processing. Machine learning allows for the classification of large amounts of unorganized data, providing actionable information for actuaries.