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: Feature article discussing the usefulness of Lorenz and Lift curves.

Description: Chairperson's column for the May 2019 issue of Predictive Analytics & Futurism.

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.

Description: This article goes through some basic data exploration techniques to show how different approaches look.

Description: An autobiographical journey from actuarial student to data scientist.

Description: A summary of a survey the Society of Actuaries recently conducted of health payer and provider executives to glean insights into predictive analytics trends.

Description: An exploration of moving predictive modeling capabilities in R to real time operations.