Key highlights of the interview include: 

• Decision trees are “probably one of the most powerful non-parametric classification algorithms” for pricing – yet most companies don’t know how to use them
• Machine learning is the backbone of the entire evolution in pricing – offering tools that are “extremely valuable” for data mining and executing pricing strategies effectively
• The biggest challenge isn’t the technology – it’s explaining these techniques to your board and making them simple enough for adoption
• The data revelation: Variables you think are crucial for pricing decisions often turn out to be “not as predominant or important as you thought in the first place”
• The critical first step: Understanding where your data “comes short” and how to fix those gaps before implementing any ML pricing process