Description: Shows why predictive modeling should be a necessary tool for the life actuary, identifies examples of various limitations in traditional mortality experience analyses, and also posits various predictive modeling techniques as a means of avoiding these constraints.

Description: Discussion of a newly released LTC experience study, including description of data and its increased scope compared to the prior report, reporting specifications, and findings.

Description: This paper deals with how the credibility levels change based on this lack knowledge. Group insuraace models are used, bill some of tile techniques could apply to any insurance risk.

Description: Technology has streamlined countless processes in our daily lives, and insurance is no stranger to this transformation. Technology can make insurance simpler and more personal for consumers, and can enable actuaries to better analyze unstructured data, make good decisions, create new products, and find channels to enhance profitability, provided they can tame the flood of information pouring in from across the digital ecosystem.

Description: The Society of Actuaries (SOA) is pleased to bring you information about the actuarial career path in life insurance and predictive analytics. We’ll continue to share more about actuaries who are tackling some of the industry's biggest challenges and top employers in life insurance.

Description: Presented at May 2005 Spring Meeting. Panelists discuss currently available data standards, forecasts about the future uses of data standards, and standards being adopted by Information Technology departments.

Description: Recurrence relations arise naturally in life contingencies for 2 reasons - the aggregate law of mortality, which relates the distribution of the future life times of 2 insureds, if one of them and the other is that most life insurance products can be constructed as a portfolio of 2 basic product types. We use the above simple idea and the extra freedom provided by the fractional age distribution to reveal a structure behind some common recursions. The structure has obvious pedagogical value. More interestingly, a software based on it has been implemented which facilitates actuarial computing.

Description: SOA Product Development Section Contest Winning Article. Contest was to provide a creative article on future technology for the life insurance industry.

Description: Overview of evolving industry trends and examples of how life insurers in Canada are innovating.

Description: Presents a theoretical basis for a computerized methodology for estimating biological age - a measure of time to death.