Description: This article describes how different types of regression models used for fund modeling can affect the variable annuity's risk exposure report and attribution report.

Description: Up until recent past, the artificial intelligence portion of data science was looked upon cautiously due to its history of booms and flops . In the latest stream of events, major improvements have taken place in this field and now deep learning, the new leading front for Artificial Intelligence, presents a promising prospect for overcoming problems of big data.

Description: Neural networks have fallen only to rise again twice. The latest incarnation borrows much from the past but adds elements to support deep learning. This article demonstrates the state of the art in deep neural network programming.

Description: The author discusses the use of genetic algorithms as they apply to actuaries, specifically the application of characteristics and their potential to solve life insurance asset and liability management problems. He also highlights various ways genetic algorithms can be used to solve a variety of actuarial problems.

Description: This article takes the reader on a speculative trip to the not too distant future to explore a hypothetical new life insurance company that has completely reinvented the way it does business, and explores some of the potential benefits to consumers and the company’s stakeholders.

Description: A discussion of what to do in the face of unprecedented change. With so many negative indicators of the economic future, suggestions are made for individual actions.

Description: Specifies 6 rules which help shape not only good crime-scene analysis, but good futures practice, as well. These rules address project management and control.

Description: Futurism section members participated in this Delphi study, which had multiple choice questions on a range of life, health, economic and professional issues. The article provides background on the study and comments on the predictions of participants for 2010 (and 2050) in light of experience to date.

Description: This review discusses the notion that a diverse group of individuals, namely, a crowd, has greater wisdom and can make better decisions than a very accomplished individual expert or a very smart group of individuals who are similar to each another and applies this thinking to business in general.

Description: This article discusses steps to follow to ensure a more rational and productive approach to data analysis.