Calculating housing costs presented one of the thorniest challenges—and they make up a huge portion of the price index.

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 ...

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 ...

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 ...

Since its founding 13 years ago as an online shoe seller, Zalando SE has grown to become one of the largest e-commerce fashion retailers in Europe. Given its roots on the web, it’s not surprising that ...

A recent HBR article by Oguz Acar from King’s College London rejects the idea that Prompt Engineering is the hottest job of the future, declaring instead that problem formulation is a higher-order, ...

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 ...

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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In February 2010, The Economist published a report called “Data, data everywhere.” Little did we know then just how simple the data landscape actually was. That is, comparatively speaking, when you ...