Data is the foundation of every industry today, powering strategic decision-making, operational efficiency and customer engagement. However, as businesses accumulate vast amounts of data, managing it ...

When AI models fail to meet expectations, the first instinct may be to blame the algorithm. But the real culprit is often the data—specifically, how it’s labeled. Better data annotation—more accurate, ...

As artificial intelligence revolutionizes manufacturing, adoption of the technology is still hindered by challenges like data quality, legacy infrastructure and workforce adaptation. Advances in ...

Uptime Institute predicts the data center industry in 2025 will face pressure over resource consumption, grid integration challenges, and AI infrastructure requirements. Data centers this year will ...

A new kind of large language model, developed by researchers at the Allen Institute for AI (Ai2), makes it possible to control how training data is used even after a model has been built.