Overview
Data governance in AI is essential for ensuring that data is managed effectively and ethically. It involves overseeing data quality, compliance with regulations, and the overall lifecycle of data. By implementing strong data governance practices, organizations can enhance the reliability of their AI...
Key Terms
Example: Implementing data governance ensures that data is accurate and accessible.
Example: High data quality means the data is accurate and reliable.
Example: GDPR requires organizations to protect the personal data of EU citizens.
Example: CCPA gives California residents the right to know what personal data is collected.
Example: The data lifecycle includes stages like collection, storage, and archiving.
Example: Compliance with data protection laws is essential for businesses.