You, as a decision maker or implementer, are frequently bombarded with the message that the data in your organization is its lifeblood. In the modern digital age, that data has immense value to your ...

The limitation for many companies investing in AI is not the sophistication of the models being deployed, but the lack of AI-ready data.

We examine the challenges organizations grapple with in the complexities of the modern data stack and look toward a sixth data platform, one assembled from modular, multivendor components. Dbt Labs ...

Metadata is a term for data that describes the attributes of another set of data. Metadata can determine much of what you encounter online, from the top search results returned in Google to the ...

Keeping track of all your data -- where it's been, where it's going, who accesses it, and what they do with it -- is neither fun nor exciting. But it is a necessary substrate for holistic data ...

Metadata management has become the practical dividing line between AI systems that scale and those that stall. As organizations push AI from experimentation into sustained production, the limiting ...

Last year, hackers broke into AT&T’s customer database, as documented in a report by the Mozilla Foundation, grabbing the phone records of almost all current and former customers—73 million in total. ...

The NSA doesn't have to intercept and read all your messages to know what you're doing -- and neither do many Internet businesses. What I find most remarkable about all the hubbub about the National ...

For years, enterprise data teams treated quality as a cleanup problem. A broken dashboard, a failed report, an unexpec ...

In 2019, LinkedIn’s engineering team announced DataHub, a metadata tool it had built to help it organise, search and discover insights from its vast data trove. In 2020, LinkedIn open sourced it. Now, ...