Briana Brownell | Source | Founder and CEO at Pure Strategy

Whenever you have a problem that you want to solve with AI, you need to figure out how to get the right data into the model—and then the right sort of output that you can translate back into the real world.

DeepMind’s success, wasn’t so much a function of picking the right neural nets but rather how they set up the problem in a sophisticated enough way that the neural network-based modeling [could] actually answer the question.