Description: 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.

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: 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: Artificial Intelligence (AI) has become a key component of the insurance landscape and getting full value from an AI depends on much more than simply building the model. Please join us to hear the challenges and potential solutions around successfully deploying an AI-driven initiative within an organization. Hear from panelists as they describe the human impacts of model implementation, how to assess a model for effectiveness and (lack of) bias, and detail the journey of implementing AI-driven underwriting models at a large insurance company.

Description: How do Professionalism and the Actuarial Standards of Practice apply as the way we work and tools we use continue to change? Business is conducted via social media and messaging and Generative AI allows for additional scenarios, analysis and oversight. Join us for an interactive session to go deeper into these topics including case studies, polls and a panel discussion.

Description: The interplay between technology and design to create safe, comfortable and thriving environments for aging in place and managing care costs.

Description: Feature article discussing the benefits of using spreadsheet controls.

Description: Read the October 2019 issue of CompAct, published by the Technology Section of the Society of Actuaries.

Description: Feature article discussing model runs through in-force data compression.

Description: A look into how machine learning models implement classification and regression at a deeper level. Covers topics such as multi-regression, softmax, and ROC charts.