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Put simply, RPA involves automating menial and repetitive tasks; cognitive automation adds an all-important extra layer of AI and machine learning. This is a branch of AI that addresses the interactions between humans and computers with natural language. NLP seeks to read and understand human language, but also to make sense of it in a way that is valuable. Basic language understanding makes it considerably easier to automate processes involving contracts and customer service.

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He is also an Alberta Machine Intelligence Institute (Amii) Fellow and a Canada CIFAR AI (CCAI) Chair. Lili received his BS and PhD degrees in 2012 and 2017, respectively, from School of EECS , Peking University.

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An efficient strategy offers the companies with a head start in planning and an edge over the competitors. Your automation could use OCR technology and machine learning to process handling of invoices that used to take a long time to deal with manually.

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However, if a business needs to automate repetitive and relatively simple tasks, symbolic AI could get them done. For example, if an office worker wants to move all invoices from certain clients into a dedicated folder, symbolic AI’s rule-based structure suits that need.

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