Description: Leveraging the research papers "Emerging Technologies and their Impact on Actuarial Science and Top Actuarial Technologies," the presenters of this session will highlight current and emerging actuarial technology trends, discuss how these trends will impact the day-to-day work of actuaries, and explain what actuaries can do to adapt.

Description: The landscape of insurance is ever evolving with pet insurance emerging as a significant and rapidly growing segment. This webinar will cover a broad spectrum of topics essential for actuaries venturing into pet insurance.

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

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: “DeFi,” or decentralized finance, is an emerging financial system built on blockchains without central intermediaries such as banks. Defi has experienced explosive growth in the last couple of years, with billions of capital locked in numerous DeFi protocols on blockchains. However, DeFi is still relatively unknown outside of the cryptocurrency/blockchain sphere. Established actuarial practice areas such as insurance, employee benefits, banking, and investments all contain DeFi application opportunities for those interested in exploring them. This article aims to provide an introduction to DeFi concepts with a few practical tips.

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: In April of 2023, the SOA Research Institute assembled an industry expert panel to discuss current issues in actuarial technology. This was the fourth time such a panel was assembled, and most panelists had participated in the previous discussions.

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.