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How do you ensure data quality with AI?

We ensure data quality with value-level validation using Data Diff, a specialized tool that compares data across all rows and columns at any scale and across any relational data source. Data Diff is used within the agentic loop, with discrepancies fed back to the agent to correct. Furthermore, legacy vs. target data diffs are supplied alongside all migrated objects as part of delivery. A convenient UI allows your team to inspect differences and accelerates UAT.