Software
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What Does the Video Game Industry of the 1990s and Actuarial Software Industry Today Have in Common?
In this article, Igor Nikitin compares the challenges faced by early 1990s video game developers with those now confronting the actuarial modeling software industry. He explains how game developers, struggling with rising costs and technical complexity, adopted game engines. These engines provided essential functionality along with access to the underlying code, giving teams flexibility to innovate without building everything from scratch. The author argues that actuarial software is reaching a similar inflection point. Many firms rely on expensive, rigid tools with limited customization and high vendor dependence. By adopting actuarial platforms that offer source code access, teams can improve model development speed, reduce costs, and apply modern skills more effectively. The article encourages the reader to consider how this shift could enhance operational efficiency, increase team agility, and support long-term innovation. -
The Tests Never End: An Overview of Software Testing Methods for Actuaries – Part 3 of 3
This is the third and final installment of a 3-part series where Joe Alaimo and Andy Rallis discuss the different types of software testing, what they are, how they are performed and ways that they apply to the software development that actuaries are involved in. -
The Tests Never End: An Overview of Software Testing Methods for Actuaries – Part 2 of 3
This is the second in a 3-part series where Joe Alaimo and Andy Rallis discuss the different types of testing, what they are, how they are performed and ways that they apply to the software development that actuaries are involved in. -
The Tests Never End: An Overview of Software Testing Methods for Actuaries – Part 1 of 3
This is the first in a 3-part series where Joe Alaimo and Andy Rallis discuss the different types of testing, what they are, how they are performed and ways that they apply to the software development that actuaries are involved in. -
Actuaries Can Excel® at Data Science (Pun Absolutely Intended)
We explore the use of mito, a Python package that allows users to use excel-like point-and-click interface with large datasets in Python. -
Intro to R
Listen as Anders Larson, FSA, MAAA talks with Shea Parkes, FSA, MAAA in the first of several episodes about data science programming languages. This episode focuses on R, which is probably the most popular languages for data science and statistical analysis in use today. Learn about the history of R, how to get started using it, strengths and weaknesses, and resources for learning more and enhancing your skills. This is the second in a broader series of episodes focusing on languages, libraries, frameworks and cloud providers.
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