As Chief Risk Officer, your job is not to know the ins and outs of Machine Learning. Your job is to responsibly manage risk.

However, according to McKinsey, Machine Learning “improves the accuracy of risk models by identifying complex, nonlinear patterns in large data sets” and it is one of the top trends in risk management¹.  So, you should probably understand the basics.

This paper guides you through the technical foundation of Machine Learning — not why you should leverage it’s power, but how it works. You’ll gather key talking points to kickstart ML initiatives in your organization.