A dystopian future where advanced artificial intelligence (AI) systems replace human decision-making has long been a trope of ...

Treating annotation as a data understanding problem, rather than a labeling workflow challenge, can systematically drive down error rates and reduce the time and cost of producing high-quality data ...

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, ...

New data classification feature transforms how enterprises build high-quality training data, delivering up to 80% faster ...