Discover how to improve inter-rater reliability (IRR) in data annotation to enhance model accuracy, reduce inconsistencies, and build more reliable AI systems.
On June 12, Meta announced a $14.3 billion investment in Scale AI, a major data labeling company. With this deal, Meta now owns 49% of...
Choosing a data labeling tool for your AI project is a lot like picking the right equipment for a construction job. You wouldn’t rely on light-duty tools...
One of the most important parts of any AI project, that often gets overlooked, is preparing the data needed to train a model. This process...
Introduction For an AI solution to deliver accurate results, it needs to be backed by trained AI models. These AI models depend on well-labeled, high-quality data....
When building AI models, especially in fields like healthcare, accuracy is key because even small mistakes can lead to serious consequences like misdiagnoses or incorrect prescriptions....
Artificial intelligence (AI) solutions are quickly becoming a key part of our society, and data labeling plays a major role in their success. Data labeling,...
Despite the benefits that artificial intelligence (AI) solutions offer, it’s an unfortunate fact that 85% of AI projects fail. One of the main reasons for this...
