AI Data Pipeline
Noun · AI & Machine Learning
Definitions
The pipeline that collects, cleans, transforms, labels, stores, and serves data used for AI training, evaluation, retrieval, or inference workflows. AI data pipelines are critical because weak data hygiene often causes poor model behavior downstream.
In plain English: The workflow that prepares and moves data for AI systems.
Example: "Most of the project complexity lived in the AI data pipeline, not the model itself, because source records arrived incomplete and inconsistently tagged."