How Effective Are Current Data Verification Regulatory Means in Ensuring Accuracy? or What Are the Mo

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Interesting thread! I think the problem isn’t just the tools but how the data verification regulatory means are *applied*.

For example, IBM’s Watson Knowledge Catalog does a solid job with metadata management, but if the rules are outdated, it doesn’t matter.

Maybe the fix is hybrid—AI + updated regs? Also, shoutout to OpenRefine for quick cleanups.

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