Organizations blame AI models when outputs are inaccurate, but many hallucinations originate from incomplete, fragmented, or poorly governed data. Better data beats a better model.

Data centers and the artificial intelligence they power have become increasing concerns for Tennesseans. Here's what ...

If you’re alarmed about the proliferation of data centers — gargantuan, windowless megastructures that power social media, live-streaming, cloud storage, e-commerce, text messaging, cryptocurrency, ...

When AI projects fail, it's often not because of the algorithms -- it's because of the data. Data quality problems can rapidly derail an AI initiative, even if other aspects of the project are well ...

US AI data center projects face delays and rising costs. Texas data center moratorium by December 31, 2027 at 21.5% YES.

As organizations integrate artificial intelligence (AI) into their business operations, they need clear ways to manage the risks associated with its development and use. Effective governance provides ...

The physical nature of data centers makes them highly vulnerable. But there are steps that governments and companies can take ...

Without properly prepared data, analytics and AI applications are unlikely to deliver the desired business outcomes. But data preparation is an inherently complex process that poses various challenges ...

President Trump's hardline defense of data centers and rapid artificial intelligence development is deeply at odds with Americans' views, recent polling has found, but the data also suggests the issue ...