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, ...

Selecting a data annotation company is as much a business decision as it is a technical one. The wrong choice slows you down, inflates costs, and sends poor data straight into your model. The right ...

Training AI or large language models (LLMs) with your own data—whether for personal use or a business chatbot—often feels like navigating a maze: complex, time-consuming, and resource-intensive. If ...

The Department of African Languages at the University of the Free State hosted a dynamic two-day Digital Text Analysis and Annotation Workshop from 24 to 25 February 2026, introducing participants to ...