Labeling and annotation are the foundation of context setting and the invisible backbone of AI, which are quietly shaping the ...

Imagine it rsquo;s a rainy Tuesday in February 2026 . An autonomous delivery robot is navigating a busy metropolitan sidewalk .

In this special guest feature, Michael Goldberg, VP of Marketing at Innodata (NASDAQ: INOD), indicates that even the most technically advanced algorithm cannot address or solve a problem without the ...

In recent years, the idea of Artificial Intelligence has revolutionized the healthcare scene, and data annotation is at the forefront of this revolution, persistently driving progress in the ...

Following the pandemic, digitalization accelerated and enterprises started investing aggressively in artificial intelligence (AI) and automation to improve their business processes and drive ...

High-quality data may be the key to high-quality AI. With studies finding that dataset curation, rather than size, is what really affects an AI model’s performance, it’s unsurprising that there’s a ...

Artificial intelligence (AI) machine learning is rapidly being deployed in biotech, medical, health care, and life science industries. Labeling the massive data sets needed to train the 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 ...

Expertise from Forbes Councils members, operated under license. Opinions expressed are those of the author. Artificial intelligence (AI) has made significant strides in recent years, largely due to ...