Description: Summary of the first annual predictive analytics (PA) symposium specifically targeted to help actuaries get into PA & to take it to the next level of expertise.

Description: Issue overview and editorial on how the actuary of today must embrace the Complexity Science and Advanced Analytics tools of today in order to remain viable in a world where the skills of yesterday are no longer unique to actuaries.

Description: A summary of how the Forecasting and Futurism Section is networking with other SOA sections and with external organizations to collaborate on various projects. Also highlights new events and projects happening on the forecasting and futurism front.

Description: Summary of the issue, with emphasis on common sense and accuracy rather than blind precision. Also describes two F&F contests.

Description: Why should actuaries care about non-quantitative considerations? We are the masters of accurate calculations, and our models should be based solely upon logic … right? Wrong! The touchy-feely holistic, irrational factors encountered so often in the real world, can wreak havoc upon a model that considers only rational logic. Our 2016 presidential election was a dramatic wake-up call to statisticians and actuaries that numbers alone are not always the determining factors in economic outcomes. Learn why this is true, and how you can adapt your models to better represent the real world, and gain competitive advantage.

Description: The author provides an overview of terms that have gained favor in sociology, physics, engineering and anthropology that should be of interest to actuaries.

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: Each month in the media we learn of another set of jobs being automated into oblivion or replaced by disruptive technologies. We see taxi drivers replaced by Uber and Lyft now, and soon by self-driving cars. An Oxford University study of 702 occupations showed insurance underwriters in 698th place, with a 99% probability of computerization. They were safer for obsolescence by automation than only four occupations such as hand sewers and telemarketers.