After five decades of concern about the swelling ranks, low pay, and exploitation of non-tenure-track faculty members, it may seem obtuse to suggest that we still need better data about these ...

Data quality issues emerge from multiple failure points from development practices to production life cycle, each compounding ...

It’s no surprise to anyone who works with data—it’s messy. In every industry and every business, there are data anomalies and issues that can impact the story data tells. If we have any hope of ...

Thomson Reuters Corp. is betting big on generative artificial intelligence, and it has the data foundation in place to do so. The global provider of professional information for the legal, accounting, ...

Cybersecurity can be summarized as a data problem. The amount of data associated with networks is massive, especially when compared to the percentage of traffic that is actually malicious. There is ...

This content has been created by the Finextra editorial team with inputs from subject matter experts at the funding sponsor. 15 years ago, innovation had stalled. Banks were licking their compliance ...

Data collection is not the principal roadblock behind issues with health care's massive data problem and how it hinders the referral process. In this contributor piece, Curtis Gattis, CEO and ...

Headlines alternate between massive AI investments and reports of failed deployments. The pattern is consistent across industries: seemingly promising AI projects that work well in testing ...

Consumers who don’t have enough of a credit history can suffer from having “thin” credit scores and profiles, which can negatively affect their chances of getting a loan, mortgage, credit card and ...

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The quiet withdrawal of a 2021 cancer study by Dr. Sam Yoon highlights scientific publishers’ lack of transparency around data problems. The quiet withdrawal of a 2021 cancer study by Dr. Sam Yoon ...