Description: Mindful data visualizations show the end users the end way in how to analyze and interpret your data. More importantly, they can then use this data they see to drive decisions and modeling going forward.

Description: Editorial for the October 2019 issue of CompAct describing the issue's contents.

Description: The winner of the “most unique use of technology” prize of the 14th Speculative (and Inspiring) Fiction Contest.

Description: This paper is a proof of a conjecture that appeared in a letter to the Editor of The Actuary. From the Actuarial Research Clearing House 1991 Vol.

Description: This article contains a brief synopsis and review of a book called APL The Language and Its Actuarial Applications which is an introduction to APL. Article from The Actuary, Volume 24, Issue 2

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

Description: A review of the Johns Hopkins Data Science Specialization courses with special emphasis on how they may be useful to actuaries.

Description: This article addresses the risks associated with poor data quality and the importance of establishing effective data governance.

Description: This article is about why actuaries should have integral roles within nearly every IT and business intelligence company serving the insurance industry.

Description: An overview of the basic tooling and packages available for the Julia programming language, with a focus on why this is of interest to the actuarial profession. It covers some of the built-in language features as well parts of the Julia package ecosystem that make Julia ideal for modeling and data analysis. This is the second installment in a series of article aimed at actuaries. The first installment, Julia for Actuaries, was published in the October 2020 edition of Actuarial Technology Today, and covered the base language itself, its high-level, math-friendly syntax, and why the actuary of the future should consider its adoption.