We are back with Peter Varhol for Part 2 of our discussion on Machine Learning and AI. In this episode, we pick up with Peter and discuss the pitfalls of machine learning algorithms, where they can help us and where they often fail us. Also, what is the role of the tester and testing in machine learning and AI? How intimately involved with the problem domain do testers need to be? How can they learn to understand the analytical parts and what they need to accomplish within that problem domain.