The full process for getting, checking, preparing, and delivering data for AI training.
It is a grocery trail for an AI's brain food. One mystery carrot can ruin the whole soup.
It tracks data sources and permission. It affects model quality and legal use.
Data Labeling
Data Labeling turns raw material into training examples.
AI Training Consent
AI Training Consent decides if data may legally train an AI.
AI training data audit
AI training data audit checks data sources and handling records.
Synthetic Data
Synthetic Data can add more data to the supply chain.