Actuarial Innovation & Technology Research Reports
- A Tour of AI Technologies in Time Series Prediction
In this report, we will try to provide an in-depth review of current Machine Learning and Deep Learning models and will explain how those models works and their possible applications in the actuarial field.
- Emerging Data Analytics Techniques with Actuarial Applications
The aim of this research is to survey emerging data analytics techniques and discuss their evolution and growing use in the actuarial profession. Data analytics’ applications in life and non-life insurance will also be provided.
- Cloud Computing and Machine Learning Uses in the Actuarial Profession
Actuarial modeling has gone through several distinct phases largely defined by the underlying technology platform. Today, cloud computing is again redefining the technology foundations of actuarial modeling and related processes.
- Behavioral Science Report
Situated at the intersection of psychology, neuroscience, sociology, and economics, behavioral economics (BE) centers on applying an honest understanding of human behavior to practical problems.
- Insurance Regulatory Issues in the United States
This research examines the intersection of U.S. insurance ratemaking and analytics techniques in advanced modern rating systems and associated regulatory considerations in the U.S.
- Technology In Microinsurance
This literature review provides insights on emerging technologies that interact with the actuarial profession within the space of microinsurance for the purpose of establishing a frame of reference for actuaries to use in their work.
- Cancer Genomics
The treatment of advanced cancer is undergoing a major paradigm shift. Traditional pillars of cancer treatment – surgery, radiation, and chemotherapy – are moving to two new efficacious approaches: tumor genomics and immunotherapy. This analysis report introduces SOA stakeholders to these brand-new areas, examines the growing clinical evidence, and sets initial projections for cost effectiveness.
- Big Data and the Future Actuary
The purpose of this report is to review the existing literature on how today’s unprecedented access to data is reshaping the capabilities of insurance actuaries. Topics covered in this report include the ways in which actuaries are using non-traditional data sources, how this is likely to evolve into the future, and how the typical roles, technologies, and skillsets of the future actuary will look different than they do today.
- Top Actuarial Technologies of 2019
This research study aims to understand the current and planned use of various technology types and tools and to highlight those technologies that are anticipated to grow the fastest among actuaries in 2019. It also explores the growing set of emerging technologies and discusses perspectives on the abilities of actuaries to adopt them.
- Machine-Learning Methods for Insurance Applications - A Survey
The Society of Actuaries is pleased to make available a research report that provides a literature survey of methodologies applying machine learning to insurance claim modeling.
- The Development Of WeChat Marketing
WeChat is gradually becoming the main force of insurance online marketing for insurance products in China. With the popularization of WeChat communication technology, more and more insurance companies have started to use the WeChat platform.
- Market Framework and Outlook for Automated Vehicle Systems
The surface transportation industry is in the early stages of a series of profound changes, stimulated by the development of increasingly sophisticated driving safety and automation technologies.
- The Impact Of Genetic Testing On Life Insurance Mortality
The Society of Actuaries (SOA) Reinsurance Section, Product Development Section and the Committee on Life Insurance Research, are pleased to make available new research exploring genetic testing and U.S. life insurance mortality.
- Cybersecurity Insurance: Modeling and Pricing
This research paper develops a framework for modeling and pricing cybersecurity risk.