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Cognitive document automation is the use of artificial intelligence (AI) and natural language processing (NLP) technologies to automate the creation, management, and analysis of large volumes of documents. This can include tasks such as data extraction, document classification, and the generation of personalized documents. The goal of cognitive document automation is to improve the efficiency, accuracy, and consistency of document-related processes, while also providing insights and intelligence that can help organizations make better decisions. Some examples of applications for cognitive document automation include contract management, compliance reporting, and customer service.

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