Many companies rely on a combination of automatic pattern recognition technology and manual data processing
Thornton combines a scholar's patience for empirical research, a stand-up comic's capacity for pattern recognition and a second-to-none gift for storytelling to the information technology management problems facing executives
Recognition has become an essential part of capture, evolving over the years from Mark Sense and Optical Character Recognition (OCR) to pattern recognition allowing computers to learn and match patterns in photos, text and even voice
Technology is essential and the technology options abound: advanced culling; processing and (forensic) full-text indexing; concept and fuzzy search; automatic pre-classification of documents into privileged, claim-related and non-related documents; intelligent redaction; machine translation; pattern recognition; relevance ranking; exact and near de-duplication; email trail visualizations; and many other smart and innovative solutions
Recognition software can be comprised of a variety of technologies – OCR software (Optical Character Recognition), which recognizes data that is in the form of machine print; ICR software (Intelligent Character Recognition), which recognizes handwriting, including handprint and cursive writing (though definitions and capabilities vary among vendors); among other image analysis and pattern recognition technologies
Technology is essential and the possibilities are abound: advanced culling; processing and (forensic) full-text indexing; concept and fuzzy search; automatic pre-classification of documents into privileged, claim-related and non-related documents; intelligent redaction; machine translation; pattern recognition; relevance ranking; exact and near de-duplication; email trail visualizations; and many other smart and innovative solutions
Text analysis differs from traditional search in that, whereas search requires a user to know what he or she is looking for, text analysis attempts to discover information in a pattern that is not known beforehand (through the use of advanced techniques such as pattern recognition, natural language processing, machine learning and so on)