Data Curation for AI: From Raw Data to Training-Ready
Most AI teams have more data than they can use. The problem is rarely quantity; it is that raw data is messy, inconsistent, duplicated, mislabeled, and full of examples that will actively hurt a model if left in. Data curation is the discipline of turning that raw pile into a clean, representative, training-ready dataset. It […]

