The July uprising did not emerge from ideology alone; it reflected a deeper structural frustration: large numbers of educated and semi-educated young people facing narrowing pathways into stable work.

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 ...

With a Human-in-the-Loop model built on employees, gig workers, and technologies, transcosmos delivers specialized AI data annotation services in Chinese, Japanese, and Korean TOKYO, Dec. 25, 2025 ...

DUBLIN--(BUSINESS WIRE)--The "Data Collection And Labeling Market Size, Share & Trends Analysis Report By Data Type (Audio, Image/ Video, Text), By Vertical (IT, Automotive, Government, Healthcare, ...

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 ...

This press release may contain forward-looking statements within the meaning of Section 21E of the Securities Exchange Act of 1934, as amended, and Section 27A of the Securities Act of 1933, as ...

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 ...

Playment’s capabilities position TELUS International to support technology and large enterprise clients developing AI-powered solutions - from optimizing customer experiences for existing clients to ...

Data labeling software is crucial in developing artificial intelligence (AI) systems. It is designed to label and annotate data in a consistent and standardized manner, just like in a commonly known ...