Description: Discusses how 'insignificant' changes in assumptions can have very significant affects.

Description: Actuaries of the future have to embrace the ideas and technologies that lie ahead.

Description: In An Introduction to Incremental Learning, by Qiang Wu and I describe how machine learning is a natural enhancement to predictive analytics through its many useful tools to derive meaning from a lot of otherwise unusable data such as handwriting. Again, there are formulas involved; but we have tried to keep them understandable to the actuary who isn’t already familiar with stochastic gradient descent, perceptrons, and principal component analysis. Incremental learning can help you refine the estimations you derive from more traditional actuarial methods.

Description: This is a gentle introduction to fuzzy logic. It explains the concept and use of linguistic variables, reference ranges, fuzzification, and defuzzification without the usual advanced mathematics that sometimes obscure these ideas.

Description: Summary of the excellent Abstract serve provided to M&PD section members

Description: What is the future of the Actuarial Profession and the Insurance Industry? Is it possible that the Actuarial Profession will become more empowered by adopting emerging technologies?

Description: A good primer on how clinical studies should be conducted and how statistics are used and misused to influence us.

Description: Given the limits of classical actuarial modeling and forecasting techniques, this newsletter contains articles discussing several ways to supplement your toolset.

Description: Actuaries provide special subject matter expertise to question (or validate) the results of data analytics models. Other quants often cannot do this.

Description: Actuaries have the opportunity to transform to a new role that utilizes predictive analytics and new data sources such as epigenetics, to better humankind.