Description: Top Actuarial Technologies of 2022-2023 provides updates on the current and planned uses of various technology types and tools, highlights those technologies expected to grow the fastest among actuaries in the next 12 months, and assesses the status of adoption versus expectations from 2019.

Description: The scope of this paper is to provide a technical overview of the tools and disciplines currently in AI as well as the forces at work that financial institutions such as insurance companies are using to modernize their analytical processes.

Description: Because of its complexity, ensuring the security of cyberspace is one of today’s most significant challenges. As the cyber environment becomes more integrated with the real world, the direct impact of cyber security incidents on business is also heightened. This study aims to develop a generic model that can be applied by any organization. For the validation of the developed cyber risk analysis method, simulations and sensitivity analysis will be performed.

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: This primer paper seeks to introduce and update the actuarial profession to the topic of insurance policies and genetics and study the impacts on insurance and potential responses.

Description: Machine learning algorithms fit models based on patterns identified in data and can be very complex. In this report, we describe and illustrate a range of methods for interpreting machine learning models from the growing field of Interpretable Machine Learning (IML).

Description: This document is a Request for Proposal (RFP) issued by the SOA Research Institute, seeking researchers to assess the impact of artificial intelligence on the insurance and healthcare industries in Asia, with specific research objectives, proposal requirements, selection process, submission guidelines, and appendix providing cost estimates.

Description: The Actuarial Innovation & Technology Program Steering Committee (AITPSC) is seeking several researchers to prepare a research paper that examines insurance innovation around the globe and the factors that fostered that innovation or hindered it elsewhere, as a collection of case studies.

Description: A discussion on the use of technology in insurance.

Description: Decentralized insurance alternatives is a rapidly expanding sector of Decentralized Finance (DeFi), an emerging and growing financial ecosystem powered by blockchain technologies. The purpose of this report is to review and discuss the business models and operating designs of decentralized insurance alternatives, which may have significant implications for traditional insurance businesses, as well as the actuarial profession.