Hive taps a workforce of 700,000 people to label data and train AI models

Datasets are the lifeblood of artificial intelligence (AI) — they’re what make models tick, so to speak. But data without corresponding annotations is, depending on the type of algorithm at play (i.e., supervised versus unsupervised), more or less useless. That’s why sample-labeling startups like Scale have raised tens of millions of dollars and attracted clients like […]