COLUMBUS, Ohio (WCMH) — Emissions from data centers can cause breathing issues and premature deaths for those living nearby, according to a new report. The report was compiled by Community & ...

There’s a wealth of customer knowledge sitting right in front of retailers, but most just don’t see it. Brands are investing millions to build out their data infrastructure. Tracking every click, ...

Add Yahoo as a preferred source to see more of our stories on Google. TigerDC, a New York-based company, plans to build a high-tech computing center in the Tyger River Industrial Park North, located ...

The Internal Revenue Service improperly disclosed the confidential taxpayer information of thousands of people with the Department of Homeland Security as part of the agencies' controversial agreement ...

It certainly is clear that there are (considerable) business benefits to be unlocked through the use of AI. It can undeniably have a beneficial impact by automating rudimentary or labor-intensive ...

Starlink says it may also share personal data with partners to help it "develop AI-enabled tools that improve your customer experience.” Joe Supan is a senior writer for CNET covering home technology, ...

Data center operators and utilities often do not disclose facility-specific energy and water usage data. The Republic built a database to estimate data centers' energy capacity by analyzing air ...

Washington state has earned its reputation for pairing innovation with responsibility. We believe economic growth, strong labor standards, and clean energy leadership can move forward together. That ...

Driven by the artificial intelligence frenzy, Microsoft is internally projecting that water use at its data centers will more than double by 2030 from 2020, including in places that face shortages.

Tech companies are building data centers as quickly as possible to run AI. These facilities are controviersial because they use copious amounts of electricity and might tax an electrical grid that in ...

Organizations have a wealth of unstructured data that most AI models can’t yet read. Preparing and contextualizing this data is essential for moving from AI experiments to measurable results. In ...