Machine learning as a discipline originates from computer scientists, not statisticians. Consequently, it looks at model building from a different perspective than how most actuaries approach it. This session will delve further into describing and demonstrating what machine learning is and how it compares to traditional statistical techniques. We will discuss how machine learning can change the use of analytics in insurance, and will illustrate how these techniques can produce surprisingly actionable results across a wide array of business functions. Additionally, the panelists will emphasize how creativity can be interjected into the process of utilizing machine learning.