Description: Join us for an insightful webinar on how actuaries can effectively operationalize Large Language Models (LLMs) in their work. We'll walk you through key areas and provide additional context to help you understand the practical applications. There will also be time for questions and answers to ensure you get the most out of this session. Don't miss this opportunity to enhance your actuarial practice with the latest advancements in technology!

Description: This session will cover the InsurTech market, its geographical footprint, its focus on life, health, and property/casualty (P&C) insurance, and the type of link it aims to improve in the value chain. This leverages the work of the Academy's AI subcommittee.

Description: As the insurance industry continues to evolve due to a pandemic and rapidly changing economic and regulatory conditions, the role of data scientists and actuaries has become increasingly important. In an interview with the Atidot data science and actuarial team, we discuss what it is like to work at an InsurTech, how data scientists and actuaries can collaborate, and look at some concrete technical examples of where the innovation is having an impact. This article explores what collaboration can look like and how the role of data science and actuary may evolve in the InsurTech industry in the future.

Description: The article urges actuaries to see AI not just as a tool but as a strategic partner, drawing parallels to past transformative technologies like the printing press. Using NAIC survey data, it shows AI adoption is surging in health and auto insurance, lagging in life. It outlines AI’s potential to boost productivity, improve data quality, and enhance contract analysis, while warning actuaries to master AI before others use it to evaluate their work. Ethical standards demand transparency and fairness, making responsible AI use part of professional duty. Historical examples—like James C.H. Anderson’s 1970s cash flow testing breakthroughs—highlight how visionary actuaries can redefine the profession. The article applies Harvard professor Jeff Bussgang’s “hair-on-fire” innovation lens, suggesting AI-powered, urgency-driven insurance products, akin to Y2K coverage, could revolutionize offerings. It calls on actuaries to address protection gaps, discrimination, and industry opacity through AI-enabled fairness. The message: courage, creativity, and proactive adoption will let actuaries shape—not just survive—the AI-driven future. The closing reflects on the author’s tenure with the SOA Reinsurance Newsletter, framing this as a final, forward-looking call to action for actuaries ready to lead in a transformed insurance landscape.

Description: The barrier between humans and machines continues to blur, but curiously, this may have been prediction thousands of years ago in ancient myths. This article looks to how some of the early legends are becoming manifest in modern technology, particularly in the area of elder care. From automation, to humanoid assistants, to mind clones will the age of technology bring a new utopia?

Description: This article delves into the transformative realm of Business Intelligence (BI) tools. We explore the fundamental functionality and structure of these tools, and through case studies illustrate how they offer valuable insights into carrier experience and underwriting dynamics. From real-time data visualization to in-depth data analysis, discover the essential features that empower businesses to make better informed decisions.

Description: "This session will delve into strategic forecasting and unified modeling, an innovative approach that utilizes an orchestration engine to streamline model execution and the forecasting process across various platforms. By leveraging publicly available technology stacks, we will demonstrate how a unified modeling platform can enhance workflows and tackle complex business challenges, providing valuable insights for both actuaries and executives. Additionally, we will explore the potential of a top-down framework to facilitate the rapid analysis of key 'what-if' scenarios, minimizing the need for extensive bottom-up modeling processes. A comprehensive data diagram will illustrate the expansion opportunities, showcasing how this unified modeling framework can scale across an entire organization, supporting strategic initiatives such as mergers and acquisitions, reinsurance transactions, and other capital management strategies. Learning Objectives: Discover a holistic approach to strategic forecasting that aligns with organizational goals Understand the potential of unified modeling to significantly enhance actuarial processes and decision-making capabilities Explore how programming language support unified modeling initiatives across various business functions Identify the benefits and challenges associated with implementing unified modeling within your organization"

Description: This presentation will explore innovative approaches to high performance networks (HPN). The session will compare the more traditional narrow network solutions offered by national carriers vs. different models established by newer vendors that focus on a different value proposition and/or does not involve narrowing the network at all.

Description: In this session, actuaries and data scientists will describe how the Cleveland Clinic has utilized large language models to support caregivers with difficult end of life conversations with patients and their loved ones. While artificial intelligence is often prefaced with words of caution, it can also be harnessed for good.

Description: Join a dynamic two-part panel, where we'll delve into organizational and personal innovation strategies, tactics, and success stories. Begin by uncovering how venture studios, payor/employer partnerships, and startup business units can propel your company's innovative edge.