An organization wants to extract insights from a vast collection of unstructured documents and make them easily searchable.
Which AI workload is best suited for this task?
Knowledge Mining
Computer Vision
Natural Language Processing (NLP)
Speech Recognition
Knowledge Mining involves using AI to extract information from large volumes of unstructured data, such as documents, and making it accessible through search and analysis. It is the appropriate workload for extracting insights from unstructured documents and making them searchable.
Natural Language Processing (NLP) focuses on understanding and generating human language but does not specifically focus on making documents searchable.
Computer Vision deals with extracting information from images and videos.
Speech Recognition converts spoken language into text.
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