Beyond Brainless AI with a Feature Store - KDnuggets

TLDR; Machine learning models are only as good as the data (features) they are trained on. In enterprises, data scientists can often train very effective models in the lab - when given a free hand on which data to use. However, many of those data sources are not available in production environments due to disconnected systems and data silos. An AI-powered product that is limited to the data available within its application silo cannot recall historical data about its users or relevant contextual data from external sources. It is like a jellyfish - its autonomic system makes it functional and useful, but it lacks a brain.