Earlier this summer Meta made a US $14.3 billion bet on a company most people had never heard of before: Scale AI. The deal, which gave Meta a 49 percent stake, sent Meta’s competitors—including ...

NEW YORK, Aug. 7, 2025 /PRNewswire/ -- BigID, the leading platform for data security, privacy, compliance, and AI governance, today announced Data Labeling for AI, a new capability that helps ...

Data labeling plays a pivotal role within the ever-expanding realm of AI. This intricate process involves the meticulous tagging and categorization of raw data, encompassing various formats such as ...

Credit: Image generated by VentureBeat with FLUX-pro-1.1-ultra As LLMs have continued to improve, there has been some discussion in the industry about the continued need for standalone data labeling ...

Simple data labeling is becoming obsolete as AI models require more complex training data, says Turing's CEO. AI training companies need to be a "proactive research partner" for major labs, Jonathan ...

Your labeled dataset looks perfect inside the annotation tool. Bounding boxes are clean, labels are consistent, and your team spent three weeks getting everything right. Then you hit export, drop the ...

Join our daily and weekly newsletters for the latest updates and exclusive content on industry-leading AI coverage. Learn More This article was contributed by Frederik Bussler, consultant, and analyst ...

As the world continues to produce and generate data at an unprecedented rate, the need for effective data annotation services becomes increasingly crucial. Data annotation involves labeling raw data ...

Before you can even think about building an algorithm to read an X-ray or interpret a blood smear, the machine has to know what’s what in an image. All of the promise of AI in healthcare — an area ...

Heartex, a startup that bills itself as an “open source” platform for data labeling, today announced that it landed $25 million in a Series A funding round led by Redpoint Ventures. Unusual Ventures, ...