Description: This article includes a description of robotic process automation as it relates to actuarial departments. Robotic process automation is becoming more prevalent in actuarial departments as different regulatory changes cause the processes to be more complex. As robotic process automation takes over more jobs, actuaries will have to enhance and evolve their skillsets to better complement the new tools. This article provides an introduction for actuaries to inform them what they should expect, and how they can adapt to these changes.

Description: Explores the open vs. closed systems debate with regards to actuarial modeling and exposes the over-simplification. Valuable for anyone who uses models.

Description: Summary of methods and standards to use to achieve an efficient, maintainable model

Description: Report on the EuSpRIG Annual Meeting last July in Paris, which focused on modeling.

Description: Feature article discussing what American actuaries can learn from their European counterparts about actuarial modeling.

Description: This paper applies GPUs and deep learning to achieve orders of magnitude performance improvement in the valuation of large portfolios of variable annuities.

Description: This article explains why distributed computing systems have grown in popularity as well as the benefits and drawbacks of implementing them.

Description: This article explores the possibility of using machine learning to improve, or potentially rewrite, actuarial code within actuarial software.

Description: Feature article discussing new approaches to actuarial modeling.

Description: Producing a crystal-clear balance roll-forward on time, obtaining a fresh model output the first time or providing model results for your business partners with a tight turnaround all depend on one thing: how fast the model engine runs. Authors explored various reasons behind significant computational power consumption, and discussed different ways to speed the computational process such as in-force population compression, model use case consolidation, code simplification and streamlining, and infrastructure automation, etc.