An AI solution extracts data fields from scanned documents and transforms them into structured data.
This is an example of which AI workload?
Computer Vision
Natural Language Processing (NLP)
Document Intelligence
Knowledge Mining
Document Intelligence - This is the correct answer. Document Intelligence refers to AI workloads that extract data from unstructured or scanned documents and transform it into structured data. It involves techniques like optical character recognition (OCR) and data extraction to process documents, forms, and invoices into usable structured formats.
Knowledge Mining focuses on extracting insights from a variety of unstructured data sources, including documents, but it is broader and may involve additional capabilities beyond just extracting data from documents.
Natural Language Processing (NLP) is used for understanding and processing human language, primarily text, but it is not specifically focused on extracting structured data from scanned or unstructured documents.
Computer Vision deals with analyzing visual data, such as images and video, it is not primarily focused on extracting structured data from scanned documents, which is the focus of document intelligence.
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