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.

Labeling and annotation are the foundation of context setting and the invisible backbone of AI, which are quietly shaping the world around us.

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 ...

New data classification feature transforms how enterprises build high-quality training data, delivering up to 80% faster results and 25% improvement in consistency, without sacrificing quality SAN ...

Data labeling is a critical part of AI. This essential process takes not only more than 25% of time and effort going into an ML project, but also requires an ever-growing amount of specialization and ...