« Felipe Antolinez »

The old saying in the machine learning community is that "machine learning is really good at partially solving just about any problem." For most problems, it's relatively easy to build a model that is accurate 80–90% of the time. After that, the returns on time, money, brainpower, data etc. rapidly diminish. As a rule of thumb, you'll spend a few months getting to 80% and something between a few years and an eternity getting the last 20%.

— Chris Dixon, "The AI Startup Idea Maze"