Description: Why small insurance companies should act now to enhance their reporting and analytical capabilities -How to start -Critical factors of success

Description: This article shares our experience of using the cloud to do large-scale parallel processing and discusses some background regarding the cloud.

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

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: This research report addresses two purposes: [1] to incorporate phase transitions into a copula framework, and [2] to calculate the probability of defaulting in the context of a portfolio of correlated mortgages when a contagion effect exists. Understanding and measuring the effects that contagion has on the probability of defaulting, for both single assets and portfolios of assets, are crucial to collateralized debt obligation [CDO] markets.

Description: Can we improve upon traditional methods of risk measurement and risk selection? Panelists discuss potential applications of predictive modeling, including individual underwriting, group rating and provider reimbursement. They focus on ways in which predictive modeling can be used to improve risk selection, experience rating and provider reimbursement. A session at the Health/Pension Spring Meeting held in New Orleans, Louisiana June 15-17, 2005. From the Record of the Society of Actuaries, Vol. 31, No. 2.

Description: A summary of the impact of the "Internet of Things" on the insurance industry.