An AI Feature Store is a centralized system for managing, storing, and serving the input features used by machine learning models. Features are the meaningful data attributes a model uses to make predictions, such as transaction frequency, customer activity, temperature readings, or device usage patterns.
A feature store helps data science and engineering teams reuse consistent features across different models and applications. It can support both historical training data and low-latency online features, reducing duplicated data preparation and helping ensure that models receive the same definitions and transformations during development and production.
