Description: Importance of bringing the DevOps mechanism in order to reduce the operational risks and to create a stable audit compliance practice in Actuarial world.

Description: This article explains how to create more maintainable models using abstractions by relating it to option, machine learning and machine intelligence models.

Description: Discusses cost-benefit decision-making for acquiring electronic data-processing equipment and installation issues, ability of small companies to compete in pension trust arena, effectiveness of various agency compensation programs in stimulating sales and improving persistency, success of sales to substandard risks and rating methods, and pricing, reinsurance and experience with individual hospital and medical policies.

Description: Insurance regulations are undergoing a paradigm shift in determining capital and reserves. With Solvency II in Europe and principle-based reserving in the United States, the old formula-based static approach is being replaced or supplemented by a principle-based dynamic method. This change requires enhanced modeling, stochastic simulation and sensitivity analysis, which pose challenges to insurers whose infrastructure has not been built for big computation. This paper introduces a method of building complicated models with small reusable modules and running them on a many-task computing platform to achieve high performance with simplicity. The paper presents an example of a term life insurance model built to take advantage of computer hardware for parallel computing at the task level.

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.