Different projects require different workflows. In data annotation platforms, flexible workflows help manage quality, speed, and complexity. Rigid workflows can lead to delays and errors, especially ...

Following the pandemic, digitalization accelerated and enterprises started investing aggressively in artificial intelligence (AI) and automation to improve their business processes and drive ...

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, ...

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 ...

Expertise from Forbes Councils members, operated under license. Opinions expressed are those of the author. Artificial intelligence (AI) has made significant strides in recent years, largely due to ...

New York, Jan. 22, 2024 (GLOBE NEWSWIRE) -- The global data annotation tools market size is predicted to expand at ~26% CAGR between 2023 and 2035. The market is projected to garner a revenue of USD ...