Why it matters: Accurate labeling sets the ceiling for AI performance, and even advanced algorithms fail without high-quality annotated data. How it’s done: Annotation covers text, images, audio, and ...

When we talk about artificial intelligence, most people immediately think of futuristic robots and self-driving cars. But here’s the truth I’ve learned over years of working with data and leading ...

Artificial intelligence is blamed for taking away thousands of jobs. But, it also creates a few — at least for now. That’s because some artificial intelligence systems are still pretty dumb. They need ...

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, ...