Description: Anders reviews the results of a recent survey of PAF section members and discusses initiatives that are planned in response.

Description: Even the best algorithms are only effective if they are trained on appropriate data. This article discusses common pitfalls in creating a training data set.

Description: The newer predictive modeling tools are powerful but they work best when supported by a lot of computing power. Parallel processing is very powerful but often very difficult to implement. Dihui and Richard take us through the maze of options with H2O, SparkNet/MLib and Mahout. Which do you use for a generalized linear model (GLM), and which is better for high-volume data manipulation?

Description: Using the Cox proportional Hazards Model to improve underwriting debits and credits.

Description: This article is about research studies that use the Delphi technique. It describes what a Delphi study is and gives a thumbnail sketch of two Delphi studies the Society of Actuaries has sponsored in the past 10 years, as well as a recently initiated Delphi study.

Description: Spreadsheets have become ubiquitous in business and forecasting. However, they do not usually have the same level of control that any other complex program would require. As a result, we often get erroneous results which can have far reaching, negative consequences.

Description: This article describes a method that can be useful when re-fitting a risk score model to a population of only moderate size. Learn how to use concepts like ridge regression to train a model with partial credibility.

Description: Looks at free and inexpensive resources for the novice in predictive analytics, covering the data analysis theory as well as the most commonly used languages/software used in the field.

Description: The Delphi method was applied to several questions regarding trends in product development. The audience participated in the Delphi survey to predict how economic and demographic factors will impact pricing over the next 7 years.

Description: A summary of the risk that the use of spreadsheets pose, along with key controls to reduce the risk.