Description: The interplay between technology and design to create safe, comfortable and thriving environments for aging in place and managing care costs.

Description: Exploring how artificial intelligence can enable insurance to expand into new places with new insights.

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: 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: InsureTech Connect 2021, covered r emerging trends that were and future opportunities for insurance technology. In addition, Society of Actuaries (SOA) staff and key SOA volunteers who work in the insurtech industry interviewed a variety of attendees to gather further information on these trends.

Description: This is a summary of the benefits of attending the 2019 Predictive Analytics Symposium.

Description: President Roy Goldman speech at the SOA 2020 Virtual Annual Meeting & Exhibit.

Description: Innovation can be a challenging goal to achieve for many organizations. Come explore how actuaries at any career stage can drive innovation in their organization and how innovation happens in companies. You'll also learn about what problems arise when organizations first start bringing an innovation mindset into play. Come discuss the practical aspects of making innovation happen for each person, whether they are an individual contributor, a team manager, personally responsible for organizational innovation, or ready to take the entrepreneurial leap.

Description: In this session, we will explore the opportunities and challenges of leveraging AI tools to support valuation actuaries in their work. We will begin by introducing the concept of large language models (LLMs), discussing their capabilities, limitations, and potential errors. We will then delve into case studies that demonstrate how LLMs can be effectively utilized to reference actuarial documents. The session will also address key considerations when developing AI tools to mitigate errors, enhance safety and security, and improve overall efficiency. The case studies will cover fine-tuning and information retrieval techniques such as retrieval augmented generation (RAG). Our goal is to provide attendees with a foundational understanding of the nature of LLMs and offer practical insights and ideas for actuaries to build their own processes and tools that ensure accountability, safety, and efficiency.

Description: Web3, Crypto, and Generative AI are no longer just buzzwords as they reshape the tech landscape. Viewed by many as unconventional technologies, their potential to now revolutionize the insurance industry cannot be ignored. Join us for an enlightening session that delves into the transformative power of these technologies and their current applications within the insurance sector, as well as discover how forward-thinking insurance companies are embracing these tools to unlock innovation and challenge the insurance status quo.