Introduction Data and model lineage in AI pipelines refers to the ability to track and visualize the full lifecycle of data and models—from raw data ingestion, through transformations, feature engineering, training, evaluation, deployment, and ongoing inference. In simple terms, it answers: “Where did this model come from, what data shaped it, and how did it Read More