“Can I drive more efficiently?” was the question to be answered at the beginning of all data science efforts at Tracks. How can we accurately measure efficient driving of the thousands of truck drivers on the roads? This is a typical real-life question that is difficult to solve with ML methods. The answer to this question has sparked a number of follow up business questions that we are tackling with Tracks’ complex AI system. In this session you will learn how Tracks’ solution looks like, which ML methods are employed and which business questions are being answered. In a nutshell, how to turn ML into saved CO2.