If you could, how would you use GenAI in data governance processes?
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With AI being integrated into data and analytics, how have you encouraged users to keep an eye out for accuracy? Do you think your efforts have been effective, or are folks just willing to take quick answers that are ‘good enough’?
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I personally think we are a long way off in terms of maturity to being able to do that. We shouldn't be getting too far into GenAI until we've got data governance in place. GenAI is only looking at masses and masses of data, and if it's got the wrong data, because we didn't have data governance on or it's poor quality, the GenAI is not going to produce the results we hope for.
We're still very much in that stage where we need to be doing data governance as a foundation for GenAI. And then in the future, perhaps we could use GenAI to highlight anomalies, tell us when things look like they might be outliers and speed up some of those things. However, we're always going to need human involvement.