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Maintaining Data Privacy Compliance When Using AI in Finance

This perspective was originally published on Nasdaq.com. Click here to read the article in its entirety.

Operational efficiency is top of mind for nearly all corporate leaders, with artificial intelligence (AI) use cases gaining traction across industries. While AI has proved to offer a variety of benefits and astound users with its results, those in heavily-regulated industries–like financial services–are posing serious questions about the security, data validity, and ethics of this technology, particularly when it comes to data privacy.

Whether a financial institution aims to use AI to improve contract management, provide customers with better experiences, improve fraud detection, or otherwise, the parameters governing how the data is ingested and retained are of the utmost importance.

To continue reading the full article as originally published, visit Nasdaq.

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