In my previous article, I talked about the biggest difference that Machine Learning (ML) brings: ML enables a move away from having to program the machine to true autonomy (self-learned). Machines make predictions and improve insights based on patterns they identify in data without humans explicitly telling them what to do. That’s why ML is particularly useful for challenging problems that are difficult for people to explain to machines. It also means that ML can make your products more personalized, more automated, and more precise. Advanced algorithms, massive data, and cheap hardware are enabling ML to become the main driver of GDP.