Cogito

 USA, NEW YORK
Cogito is the industry leader in data labeling and annotation services to provide the training data sets for AI and machine learning model developments. https://www.cogitotech.com/

Cogito's articles

Challenges to Successful AI Implementation in Healthcare

“Al will not replace doctors but instead will augment them, enabling physicians to practice better medicine with greater accuracy and increased efficiency.” – By Benjamin Bell (Scottish Scientific Surgeon) Artificial intelligence (AI) and machine learning (ML) have received widespread interest in recent years due to their potential to set new paradigms in healthcare delivery. It […]
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Text Annotation, Use Cases, and Its Usability to Machine Learning

Although the world has shifted rapidly towards digitization, some documents and papers still contain some of the most complex information. As public information becomes more abundant, the challenge of making raw, unstructured data machine-readable arises. As a matter of fact, video and images are easier to comprehend than text. As an example, we can take […]
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Image Annotation : A Quick Insight into How We at Cogito Annotate Images

A major step in the development of computer vision systems, AI-based machine learning models, and prediction applications is building well-optimized training data, i.e., the training data that consists of high-quality image annotation and labeling. The AI training data, as a matter of fact, is a principal prerequisite for enabling computer vision systems to recognize, obtain, […]

How do We Annotate an Image

Business-specific image annotation customized to your automation goals — let custom image annotation experts bring you the aid to functionalize your AI model. Cogito specializes in image annotation technology and image annotation deep learning services. Introduction A major step in the development of computer vision systems, AI-based machine learning models, and prediction applications is building […]

Why radiologists in the healthcare sector will gain from AI

  In radiology field, talk of artificial intelligence (AI) has become commonplace. Many think AI, also known as machine learning or deep learning, may improve radiologists’ operations, enable quantitative radiology, and help identify genetic markers. Radiologists are very active medical specialists. Any errors would be unaffordable. They must communicate with a broad spectrum of referring […]

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