An excellent machine learning model is a wonderful accomplishment in data science, and it is only the start. The difficulty—and the way to make money—is to apply that model to a business problem in a strategic way. A lot of companies have a lab to land gap, where an effective model never becomes a product or earns a penny. The best thing is not a superior algorithm but a clear monetization approach. Those companies that effectively monetize ML do so not by merely creating models, but by creating products and services that the model can support. Here is an overview of their main tactics for making ML profitable.