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

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Great topic! Honestly, I think the current data verification regulatory means are *way* behind. Like, we’re still relying on manual audits in some places—how is that scalable?

I’ve seen companies use tools like Trifacta for data wrangling and Talend for real-time validation. They’re way faster than old-school methods.

But yeah, AI could totally help. Maybe something like MonkeyLearn for automated checks? Curious if others have tried it.

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