Data

In one line

The examples an AI learns from: text, photos, clicks, sounds, numbers.

Picture it

Data is the textbook. A student who only ever reads cookbooks will think every question is about food.

Under the hood

Quality, quantity and coverage matter more than raw size. Data is cleaned, labelled and split into training and test sets. In an enterprise, who owns it and what it may contain matters as much as how much there is.