COGNITIVE AUTOMATION OPPORTUNITIES, CHALLENGES AND APPLICATIONS

Cognitive automation is a process of building human like machine which can perform actions based on context by leveraging technologies like natural language processing, Machine learning, image recognition, intelligent search, and context analysis and adapt to their underlying algorithms based on data processed by them. It is an advanced application of machine learning, artificial intelligence and deep learning are used in most of the industries where the conditions are too risky for humans to work. However there are lots of challenges to build efficient, accurate and reliable cognitive systems as it requires integration of various data generating applications across the organization. In this paper we tried to put forth the challenges commonly faced by organizations in implementing such a system and the opportunities that can be leveraged by deploying cognitive automation solutions. We also discussed few Cognitive automation applications as case studies for better understanding.