“Feature stores,” with their dreary and opaque moniker, might not sound like the sexiest subject.
But they’re an essential part of the AI systems that enterprises — and consumers, for that matter — use every day. That’s why they’re attracting an increasing amount of attention and investment from venture firms, which see the market opportunity growing into the distant future.
AI systems are made up of many components, one of which is features. Features are the individual variables that act like inputs in the system. In thinking about features, it can be helpful to visualize a table, where the data used by AI systems is organized into rows of examples (data from which the system learns …
