Artificial intelligence systems are only as powerful as the data they are trained on. High-quality labeled datasets determine whether a model performs with precision or fails in production.

Data annotation, or the process of adding labels to images, text, audio and other forms of sample data, is typically a key step in developing AI systems. The vast majority of systems learn to make ...

Scale AI—which helps companies like ChatGPT improve the data that feeds their systems—is pictured on a laptop in New York on Aug. 16, 2023. Credit - Gabby Jones—Bloomberg/Getty Images On TikTok, ...

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, ...

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 ...

After waves of user requests, annotations are finally back in Google Analytics and GA4’s version is more useful than ever. Whether you manage analytics for a brand, agency or client, annotations are ...

is a senior reporter who has covered AI, robotics, and more for eight years at The Verge. A new report from Reuters reveals that contract workers are looking at private posts on Facebook and Instagram ...