Communities are starting to push back against the massive data centers powering AI, citing concerns over utilities, noise, land use, and tax incentives. While AI’s effect on jobs and misinformation ...

Adding to the concern, a study by researchers at the Lawrence Berkeley National Laboratory, published in the journal ...

While 79% of organizations face AI data challenges, 92% are already using their data to train LLMs despite readiness concerns ...

The moment your AI outputs need a manual “sanity check,” your AI program has stalled because users won't adopt something they ...

FinOpsly’s release helps teams prevent cloud, data, and AI cost overruns with proactive controls, real-time Github ...

Orbital is planning to launch AI data centers into space to solve power and cooling issues ...

The “Impact of Data Trust on AI Success” report by MIND, produced in collaboration with CISO ExecNet, delivers a stark message: AI adoption is accelerating at a pace that far exceeds organizations’ ...

Data quality can become not just a problem to manage but a competitive differentiator as AI becomes increasingly embedded in ...

AI data centers feature extremely high power densities, with loads that can ramp up or down within seconds, creating significant challenges for power system stability. Power quality issues such as ...

AI is increasingly used to monitor solar assets, though it’s most commonly used for operations and maintenance. But, software and inspection data is also being integrated into how projects are ...