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AI data cleansing and challenges in data governance [Video]

Anyone who has worked in the data industry for several decades can speak to its continued evolution. Today, the focus has shifted to artificial intelligence, emphasizing AI data cleansing and governance, as clean data is essential for effective AI implementation.

That’s an emphasis that many have been pushing forward in this new era. Data must be cleansed for analytics to be more reliable, according to Nusrath Mohammed (pictured), data practice leader at Tata Consultancy Services.

“Now, because of AI, everybody wants to jump on that bandwagon. But then we realize data is not cleansed and then we have to go backwards and start cleaning that first,” Mohammed said. “Now, we can jump on that bandwagon.”

Mohammed spoke with theCUBE Research’s Dave Vellante at the CDOIQ Symposium, during an exclusive broadcast on theCUBE, SiliconANGLE Media’s livestreaming studio. They discussed the importance of AI data cleansing and the evolving challenges in data governance.

From AI data cleansing to optimizing

There are a lot of …

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