A curated collection of actuarial AI case studies covering machine learning, generative AI, agentic AI, and more, designed to support actuaries in applying AI to real-world problems.

Abstract: This paper presents a novel method for hierarchical analysis of machine learning algorithms to improve predictions of at risk patients, thus further enabling prompt therapy. Specifically, we ...

Bellabeat case study using R — focused on one product and enriched with an additional gym membership exercise dataset to provide a more targeted analysis of user activity trends. Completed as part of ...

Building performance is a hallmark of architecture in the 21st century. With buildings and the construction industry being significant contributors to carbon emissions, designers must do everything to ...

Abstract: Computer architecture and computer systems research and development is heavily driven by benchmarking and performance analysis. It is thus of paramount importance that rigorous methodologies ...

We introduce Sleep, a new Python open-source graphical user interface (GUI) dedicated to visualization, scoring and analyses of sleep data. Among its most prominent features are: (1) Dynamic display ...