Moving from data science to machine learning engineering

For the last 20 years, machine learning has been about one question: Can we train a model to do something? Something, of course, can be any task. Predict the next word in a sentence, recognize faces in a photo, generate a certain sound. The goal was to see if machine learning worked, if we could make accurate predictions. What can we build with these models, and how can we do it?