Description: The July 2013 issue of the SOA’s Forecasting & Futurism section’s newsletter, Forecasting & Futurism.

Description: A book review by Scott McInturff of The Signal and the Noise: Why So Many Predictions Fail - But Some Don't authored by Nate Silver.

Description: Parables and Prophecies Prevent Predictive Prowess

Description: Discusses the factors one should take into account when considering the appropriate level of precision for a task or a subsequent communication.

Description: An introduction to the Forecasting & Futurism section's 2014 contest, where participants are encouraged to explore a forecasting application and develop it. The article discusses the contest, the scoring, and the prize.

Description: A review of the Johns Hopkins Data Science Specialization courses with special emphasis on how they may be useful to actuaries.

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: Summary of the reasons behind our section name change; and a short description of each of the articles in this issue.

Description: A discussion on how to avoid bias when choosing research topics.

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.