- 1 Best Betting Sites in Bangladesh 2022
- 1.1 Signup
- 1.2 AI Based Chatbots Market Size Industry Report 2023
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Cognitive automation brings in an extra layer of Artificial Intelligence (AI) and Machine Learning (ML) to the mix. This provides thinking and decision-making capabilities to the automation solution. Siloed operations and human intervention were being a bottleneck for operations efficiency in an organization. According to Deloitte’s 2019 Automation with Intelligence report, many companies haven’t yet considered how many of their employees need reskilling as a result of automation. The foundation of cognitive automation is software that adds intelligence to information-intensive processes. It is frequently referred to as the union of cognitive computing and robotic process automation (RPA), or AI.
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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.
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