Description: Why should actuaries care about non-quantitative considerations? We are the masters of accurate calculations, and our models should be based solely upon logic … right? Wrong! The touchy-feely holistic, irrational factors encountered so often in the real world, can wreak havoc upon a model that considers only rational logic. Our 2016 presidential election was a dramatic wake-up call to statisticians and actuaries that numbers alone are not always the determining factors in economic outcomes. Learn why this is true, and how you can adapt your models to better represent the real world, and gain competitive advantage.

Description: Predictive Analytics and Epigenetics are two of the most impactful driving forces for the future of healthcare, precision medicine, and insurance. Learn why this is true, how if will change the way our industry operates, and how you can stay viable and contribute to the betterment of humanity while also protecting the actuarial profession from obsolescence. Learn how personalized medicine keying off genetic testing is saving life insurers big dollars. The only limit seems to be testing access for their insureds.

Description: Neural Networks are no longer limited to classification and regression solutions to numeric problems. CNNs add the ability to classify images, and GANs can create new images. Learn how these capabilities can provide competitive advantages to early adopters, how they work, and how to implement them.

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?