Data labeling has long been a critical component of helping data scientists to prepare data for machine learning (ML) and artificial intelligence (AI). In the modern era of generative AI, the role of ...

Amid the boom of AI in application building, companies face a significant data-labeling problem, especially when it comes to labeling images or other media content they want to train deep learning ...

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 ...

Enabled Intelligence, an AI startup that focuses on computer vision algorithms and task automation, has booked a potential $708.3 million contract for data labeling services across the U.S. government ...

Enabled Intelligence has secured the National Geospatial-Intelligence Agency’s SEQUOIA contract, a single-award vehicle worth up to $708 million over seven years to provide data labeling-as-a-service ...

Recent advancements in large generative models have resulted in widespread interest in their ability to act on complex instructions. These so-called foundational large language models (LLMs), e.g., ...

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 ...

Dublin, Nov. 26, 2025 (GLOBE NEWSWIRE) -- The "Healthcare Data Collection & Labeling Market - Global Forecast 2025-2032" report has been added to ResearchAndMarkets.com's offering. The Healthcare Data ...