Description: A look at the near future and far future of various elements of Actuarial Models as defined through ASOP 51. What is driving the complexity for inputs, calculations, and outputs. Howe will actuaries handle these challenge?

Description: In order to better develop skill in predictive analytics, the author suggests looking to professionals who design innovative predictive models and, more importantly, find effective ways to communicate their findings to a large audience.

Description: As M2M are exponentially increasing, we will soon see reinventing of whole business models and customer relationships.

Description: How the speed of change is accelerating and how we could react to this as a profession.

Description: The author recounts his experience as a keynote speaker at the Actuarial Research Conference and provides advice to young actuaries to present complex subjects in an understandable manner.

Description: Big data and machine learning have been making headlines across industries everywhere, how will it impact the world of actuarial science?