Description: A discussion on the use of actuarial data in life insurance companies.

Description: Read the December 2017 issue of Predictive Analytics & Futurism published by the Predictive Analytics & Futurism Section.

Description: Discusses preparations needed, and risks of not preparing, for the Year 2000.

Description: Discussion of how to apply FinTech and IT processes and technologies to building an in house actuarial models.

Description: Briefly reviews the history of Information Technology, IT, in the life insurance business. It then talks about the emerging trends in IT management and the impact they likely will have on the work of the life insurance actuary.

Description: Article discusses managing IT systems properly to avoid infrastructure problems by looking at alignment, user experience and technology.

Description: This session will explore the practical aspects of bringing models to production, maintenance and management through its entire lifespan. Topics covered will include: production considerations, versioning, documentation, peer review and monitoring the model over its lifespan.

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.