EXAMPLES OF EVOLVING  Data Governance Functions for AI

Data Governance Functions for AI

DATA DISCOVERY AND CLASSIFICATION

Automated data discovery and precise tagging are crucial for AI data preparation, including metadata capture for AI-generated data.

DATA CATALOGING

Active metadata offering real-time context on upstream data changes affecting AI systems is essential. Extensive metadata for AI models ensures traceability and transparency.

DATA QUALITY

Continuous validation via statistical analysis and drift monitoring is vital to ensure high-quality data for AI. Tools enabling data observability are imperative.

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