Description: Many Americans will need long term care in future years, yet only 10 percent of those 50 and over have LTC insurance, and public programs are not funded to provide care for all who need it. The Long Term Care Section and the Forecasting and Futurism Section have co-sponsored a Delphi study, code named “Land This Plane,” with a lofty objective: to create a vision for how America ought to deal with the impending Long Term Care crisis. This article describes the results of the study that were available at the time this article was written.

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: Impact investing is investments in “companies, organizations and funds with the intention to generate social impact alongside a financial return”.

Description: A summary of the Global Trends 2030 report, the fifth such report produced every four years by the National Intelligence Council. The report is based on the research and analysis of the 17 major intelligence agencies in the US. The summary covers the highlights of the report.

Description: The winner's curse, applied to Affordable Care Act plan pricing.

Description: This article provides a highlight of all the information and resources the predictive analytics and futurism section provides to its members.

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: Why Actuaries Should Welcome Automation

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

Description: The author, Mary Pat Campbell, participated in the 4th season of the Good Judgment Project, a prediction tournament. She explains the basic metric used for evaluating predictions in the contest and some of the lessons learned from her participation.