Description: Actuaries provide special subject matter expertise to question (or validate) the results of data analytics models. Other quants often cannot do this.

Description: Editorial and issue introduction

Description: The author discusses the two-part presentation on complexity science tools at the SOA Annual Meeting October 2010. He explains that presentations went back to basics with explanations about the difference between modeling tools used to employ deterministic methods for classical actuarial models.

Description: Introduction to the topics of the issue; and anecdote regarding the value classical versus newer techniques.

Description: Impact of Technology on Health Care Delivery Systems - Chart 3

Description: Panel discussion from the May 1982 Society of Actuaries meeting in Colorado Springs covering developments in Education and Examination. Topics discussed included: 1. Goals, purposes and objectives of actuarial education in general, and the Society's Education and Examination E & E program in particular. 2. Critique of the current E & E system. 3. Plans for and future directions of actuarial education, including the role of the academic community.

Description: Discusses how 'insignificant' changes in assumptions can have very significant affects.

Description: This abstract describes a presentation that gives an in-depth look at genetic algorithms - what they are, why they are important for actuaries, when to use them, and how to create them.

Description: History of Big Data, and approaches to cope with it. The author suggests that actuaries have been using similar methods for a long time; but need to get up to speed on the newer terms and variations.

Description: The authors take a deeper look at the long-standing motto of the Society of Actuaries, from John Ruskin, “The work of science is to substitute facts for appearances and demonstrations for impressions.”