Description: The rapid economic development of Asia has ushered in profound lifestyle changes, particularly in urban centers. Increased disposable income, urbanization, and the proliferation of convenient food services have contributed to dietary habits associated with elevated health risks. Among these, insulin resistance (IR)—a metabolic condition linked to diabetes, hypertension, and cardiovascular diseases—has emerged as a critical yet underrecognized threat. IR is also strongly associated with an increased risk of dementia, particularly Alzheimer's disease and vascular dementia. For life and health insurers operating in markets such as Greater China and Southeast Asia, traditional underwriting methods face significant challenges in accurately assessing these evolving risks. This article investigates the limitations of conventional approaches and explores the potential of continuous underwriting methodologies to better align risk assessment with dynamic lifestyle factors.

Description: Zero-Knowledge Proofs (ZKPs) represent an innovative suite of cryptographic algorithms that empower the insurance community to validate the accuracy of sensitive information without revealing the actual information itself. Mutation with the use of non-traditional data entering the insurance processes of customer acquisition and in-force management is currently taking place. A shift toward using non-traditional data in insurance customer acquisition and in-force management processes is currently taking place. This evolution is captured in the Australian market through surveys and interviews. Come and join us to learn about these two new research studies that open up the possibilities for the insurance industry to be more efficient in delivering its value to the society.

Description: We will share the latest research from the Actuarial Innovation and Technology (AIT) Strategic Research Program, with a focus on research relevant to health actuaries. Attendees will learn about leading-edge technology that has impacts on actuarial functions, both broad and specific innovations and breakthrough technology, and the resulting impacts.

Description: Come prepared for an engaging workshop where you will have the opportunity to share thoughts on and work through a variety of questions concerning how actuaries must adapt to account for newer underwriting and distribution practices. Seating will be limited for this workshop focused on life actuaries who price and set assumptions for products impacted by new underwriting tools and processes such as accelerated underwriting (AU) or direct-to-consumer (DTC) distribution.

Description: Advancements in machine learning modeling as well as new sources of data coming to the fore help feed the burgeoning industry of InsurTech applications in underwriting. By attending this session, you will learn about the latest developments in InsurTech applications in life/health insurance underwriting.

Description: A contract owner selects a payout for his annuity using an AI/bot. The AI/bot presents various options with differences in payment and interacts with him in a simulated chat session. He decides on the form of payout. Compared to regular customer service the AI/bot was an improved experience with a call to action for the industry to build it.

Description: Creating the complete view and management of the complex interactions between care providers, medicines and behavior.

Description: This game-style session will test your knowledge on several topics related to Supplemental Benefits. Our panel of carrier representatives will offer a range of industry perspectives, and our live studio audience will learn new industry insights and have some fun!

Description: Dive into this review on Artificial Intelligence and Machine Learning (AIML) techniques for actuarial modeling for life & annuities. Presenters will showcase learnings from the recent SOA research paper "Predictive Analytics and Machine Learning – Practical Applications for Actuarial Modeling" (Nested Stochastic). The researchers will go over models and methodologies used to develop high-fidelity proxy models for various life & annuity applications.

Description: Generative artificial intelligence (AI) tools like ChatGPT will redefine the nature of work across industries in coming years, What does this mean for the actuarial profession? Delivering generative AI tools to actuaries capable of leveraging them effectively will dramatically modernize how actuaries work and contribute to organizational growth. In this educational session, explore how generative AI can accelerate actuarial model development. Gain an introduction to generative AI and its implications for actuarial modeling. Learn how it specifically helps actuaries improve accuracy, reduce errors and save time in model development. Then explore use cases, including how generative AI can improve data cleaning, model building, as well as simulate scenarios and test model robustness. Close with a discussion on how to integrate generative AI into actuarial modeling workflows effectively, including common challenges actuaries may face during implementation and tips to overcome them. You will come away with a deeper understanding of how generative AI can accelerate actuarial model development.