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: Hardly a day goes by without a feature story about the latest reverberation from the expanding use of Artificial Intelligence/Large Language Models (tools) in a variety of settings. The pace of use (and misuse) of these tools, such as ChatGPT and Bard, has been explosive and shows no sign of abating. Many experts would argue we are on the cusp of a permanent paradigm shift in teaching/academics and overall application of technology. With these issues in mind, the Society of Actuaries (SOA) Research Institute’s Aging and Retirement program is interested in an exploration of this topic from a variety of perspectives. The result of this effort is intended to provide a useful resource for readers to become well-grounded on the issues surrounding the impact of these tools in a retirement context and set the stage for future research.

Description: The document is a research call for proposals seeking researchers to produce a report on the uses of synthetic medical claims data for actuaries. It outlines the background, purpose, research objectives, proposal requirements, selection process, and conditions for submission.

Description: En el seminario hablaremos sobre los nuevos flujos de tarificación, y nos enfocaremos en la inclusión del análisis geográfico en el proceso de modelado para optimizar la extracción del riesgo en modelos de Machine Learning.

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: This document is a Request for Proposals (RFP) for research studies related to Model Governance/Ethics for GenAI Models in the context of the life insurance industry. It outlines the background, scope of work, proposal requirements, selection process, submission guidelines, and conditions for potential research projects.

Description: Actuarial transformation initiatives often require significant investment in time and resources. However, not all initiatives deliver the desired results. Complex integrations of new data and technology pose a significant challenge for business and technology teams to deliver on time and on budget. This challenge can be overcome if addressed thoughtfully with emerging technology and business-friendly tools which offer benefits to both actuarial business users and technology professionals. In recent years, low-code technology has emerged which empowers actuaries by providing capabilities for data analytics, self-service, and visualization without requiring extensive technical prowess. Pairing these tools with emerging cloud-based data management solutions allows actuaries to quickly manage and analyze large data sets along with enhanced governance and integration. By adopting these technologies, actuaries are empowered to deliver better outcomes for their organizations Come explore a panel of actuarial business and technology experts who will share their insights and experiences on how low-code technology solutions can empower actuaries with better access to data and analytics. The panelists will discuss real-world case studies to demonstrate the practical benefits of these tools and how they can be used to achieve better business outcomes.

Description: Best-in-class analytics allow companies to quickly understand results and dynamically manage their business. When enhancing analytics, we can learn from companies that have recently deployed new dashboards for Long Duration Targeted Improvements (LDTI), International Financial Reporting Standards 17 (IFRS17) and principle-based reserving (PBR). Data transformations and new software tools provide significant opportunities, but many companies are grappling with an actionable path forward to implementing new analytics.

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.