Source: Forbes

Forbes Tech Council explains why data curation—ensuring quality, relevance, legality, and diversity of training data—is essential for enterprise AI success. The article stresses that without careful selection and preprocessing of data, AI models can produce unreliable or biased outputs.

From a legal standpoint, using improperly sourced or unverified data can expose businesses to IP infringement, privacy violations, or regulatory non-compliance. The article recommends adopting data governance frameworks that include consent, accuracy verification, and purpose-specific use.

This curation-centric approach is framed as key to trustworthy and scalable enterprise AI deployment.