Description: An autobiographical journey from actuarial student to data scientist.

Description: The predictive analytics application growth in the Asia-Pacific region has been gaining momentum.

Description: Description of methods for extracting and reformatting the existing mortality tables using R. Methods and formats for storage are discussed in the second article. Intent is to generate discussion regarding the format of our stored mortality tables. Value is in the demonstration of task automation in R and in the reduction of duplicate work across companies related to reformatting tables.

Description: The article is a chairperson’s update from Arthur da Silva on the Society of Actuaries (SOA) Emerging Topics Community, written to recap the past year’s accomplishments and outline potential priorities for the year ahead. Its intent is both informational while inviting community member participation and ideas for the year ahead. It also provides insight into the new AI subgroup and how it operates to help community members and other community leaders understand what it delivers and how to get involved.

Description: This report explores how artificial intelligence can be applied to investment and retirement planning, highlighting real-world applications, risks, and recommendations.

Description: "Discuss research conducted at the Cleveland Clinic to understand levels of anxiety and depression across Northeast Ohio. Specifically, learn how advanced analytical techniques were utilized with social media data from Twitter and Google to estimate the need for psychological support by geography and overtime. The panel will go further to demonstrate how natural language processing (NLP) and machine learning could be used to make operational decisions at a leading health care provider."

Description: This session will discuss essential theories and practical applications of deep learning for actuaries. Participants will gain insights on leveraging these cutting-edge techniques to enhance actuarial models and drive predictive accuracy.

Description: This session will examine bias from a social science perspective. It will discuss the three types of systemic biases using the National Institute of Standards and Technology (NIST) model. The NIST model details the three types as historical bias, societal bias, and institutionalbias. The session will also provide several examples of each type to provide a framework for identifying the social structure of bias.

Description: This session will cover the regulatory testing requirements issued by Colorado in its SB21-169 regulation, New York Insurance Circular Letter No. 7 issued in 2024, as well as other US States. It will also explore the actual implementation of these requirements on a company using Large Language Model on external data for life underwriting.

Description: Modern Actuarial work, being quite data intensive, provides many opportunities for actuaries to use the statistical skills that are part of their basic training. Furthermore, modern computing allows us to analyze vast quantities of data intensively, and each package will provide statistical "answers" to any questions the actuary might ask of it. However, in this particular field, it is often worth taking a step back, and ensuring that we recall and consider the warnings that come with each of the statistical procedures we might attempt to use. This will allow us to ensure that we guard ourselves against drawing inappropriate conclusions, which could come back to haunt us later.