Description: A personal account of how humor in the workplace improved productivity.

Description: Machine learning models are not black-boxes; these models can easily be interpreted using tools like SHAP, LIME and Anchor. These tools can facilitate the understanding of the model and the business problem. We can used these tools to build better models and communicate how predictions are generated. This article demonstrates their use in a mortality model.

Description: LDTI’s introduction has forced many insurers to examine their existing operations and technologies. They must determine how to optimize compliance efforts while balancing data, analytics and system modernization considerations to achieve maximum value. This article will examine the four key facets—the data, technology, processes, and people—essential to any successful LDTI exercise. It will also touch on the various approaches for tackling LDTI and how a modernization mindset can help insurers realize much greater transformation for the business.

Description: This article discusses the positive aspects of E-prescribing, a transaction in which a physician transmits a prescription directly to a pharmacy through an electronic device. Issue No. 60

Description: A basic introduction to the emerging field - insurance technology

Description: The Potential Impact of Pandemic Influenza on the U.S. Life Insurance Industry pandemic model tool. This tool is used to project a Life Insurance companies potential losses from an influenza pandemic. Please see the SOA website for complete instructions on how to use this excel spreadsheet tool. Also see the website for the complete research report: www.soa.org/research/research-projects/life-insurance/research-impact-pan-influ-life-ins.aspx. The core of the paper is quantifying the potential impact of selected pandemic scenarios on the Life Insurance industry.

Description: This report explores the adoption and impact of artificial intelligence and large language models in the Greater China insurance industry, drawing from surveys and case studies.

Description: This document is from the March 2025 edition of the SOA Research Institute AI Bulletin, focusing on artificial intelligence initiatives within the actuarial community. It includes articles on strategic principles, professional development products, NAIC updates, and tips for prompting the language model.

Description: Dive into the basics of Generative AI (including Large Language Models and ChatGPT), why it is important, and how might it potentially affect how people and actuaries perform their work. After a brief introduction, you'll walk through some live demonstrations of the technology followed by interactive breakout discussions on how the technology might impact each attendee's work. You will also culminate in a summarization of the breakouts, discussion of implications for the profession, as well as precautions to take when using the technology. Come discover the basics of the technology and its implications for the work performed by actuaries. They will also learn, via the live demonstration, how to access ChatGPT (or similar platform) and will follow along how to generate outputs from the application based on some example inputs provided. Take away some resources from which you can learn more about Generative AI, Large Language Models, ChatGPT, etc.

Description: Financial planning and analysis (FP&A) has become increasingly important to the life insurance industry in recent years. Insurance companies must navigate complex changes in financial reporting and capital requirements to manage risk effectively. Furthermore, technological growth has changed the landscape of the theoretical capabilities of FP&A; however, many FP&A areas struggle to implement the sophisticated modeling techniques required to manage the long-term liabilities associated with life and annuity products.