The SOA’s Actuarial Innovation and Technology Strategic Research Program highlights actuarial research, surveys and papers on the use of new technology involving the actuarial profession. The program is also designed to share how actuaries develop new innovations in this space. Topics include predictive analytics, artificial intelligence, machine learning and how actuaries use computational power.
Actuarial Innovation & Technology Strategic Research
The SOA Strategic Research Programs emphasize the skillset and thought leadership of actuaries, and help provide insights to members, stakeholders, and the public on socially relevant topics.
Actuarial Innovation & Technology Strategic Research
Call for Essays – Show Us your Innovative Ideas!
We have issued a call for essays regarding Actuarial Practice Innovation. We’d like to hear your ideas.
Summary of Innovation and Technology Research Reports
A brief overview of recent AIT research papers in summarized format.
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.
Ethical Use of Artificial Intelligence
The purpose of this report is to highlight the ethical risks arising from the application of AI in actuarial practice and to have tools to use to identify and manage it.
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.
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.
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.
Research Reports
An Update on the Outlook for Automated Vehicle Systems
To help describe current trends and highlight differences between the cars we see on the street today and driverless vehicles, this report relies on three market-related definitions; safe, self-driving and driverless.
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.
Considerations for Predictive Modeling in Insurance Applications
This report includes a review of existing literature and current industry practices, as well as a comprehensive set of considerations for predictive modeling in insurance applications.