Despite the continued hype surrounding AI adoption, many overlook one of the biggest factors for AI success: data quality.

Data centers used to fuel AI are popping up all over the U.S., and they're becoming a midterm issue for voters that's now drawing White House attention.

As enterprises pour billions into GPU infrastructure for AI workloads, many are discovering that their expensive compute resources sit idle far more than expected. The culprit isn't the hardware. It’s ...

A new Brookings report says binding community benefit agreements are increasingly necessary as local opposition mounts over ...

Silent schema drift is a common source of failure. When fields change meaning without traceability, explanations become ...

Despite opposition, a new POLITICO poll suggests data centers aren’t unpopular nationwide. But that changes when one shows up in your backyard, both the AI industry and its foes say.

63% of business leaders describe their organizations as very data-driven, up 10% from 2023. Only one in two business leaders is confident about the ability to deliver timely business insights. The ...

1. The "quarantine" pattern is mandatory: In many modern data organizations, engineers favor the "ELT" approach. They dump raw data into a lake and clean it up later. For AI Agents, this is ...

Artificial intelligence (AI) projects are moving from the exclusive domain of technologists to becoming a core component of the business environment, with the market set to hit a tipping point in 2026 ...

The rapid expansion of AI data centers must coexist with the well-being of the communities that host them in the ...