Simple annotation work is no longer enough for advanced AI, says Turing's CEO, who says models need complex, real-world data.

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 ...

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 ...

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, ...

Sapien AI Corp., a data labeling company, today announced it raised $5 million in a seed funding round to build out its service of providing high-quality annotation and labeling for training ...

"If you focus on the enterprise segments, then all of the AI solutions that they're building still need to be evaluated, ...

Accurate search results and personalized recommendations are undisputedly the bedrock of modern ecommerce. As more businesses around the globe migrate online, the goal of every such company is simple ...

Most artificial intelligence models are trained through supervised learning, meaning that humans must label raw data. Data labeling is a critical part of automating artificial intelligence and machine ...

AI is driving the paradigm shift that is the software industry’s transition to data-centric programming from writing logical statements. Data is now oxygen. The more training data a company gathers, ...