Part 9/12:
Data Quality Rules & Governance: AI recommends data quality rules based on data patterns and helps automate data cleansing workflows, ensuring accuracy from the outset.
Handling Large-Scale Sources: For multi-hundred-column, denormalized feeds (e.g., SAP or mainframes), AI accelerates understanding and documenting data, saving weeks of manual effort.
Human-AI Collaboration: The Future of Data Modeling
It's crucial to understand that AI does not replace data professionals but acts as a co-pilot. Human expertise is still needed to:
Validate AI-generated models and recommendations.
Incorporate domain-specific nuances.
Perform critical review and decision-making.