Abstract
The digital computing practices amplify knowledge contained in the transactions, as a result in the voluminous data (structured and unstructured). The spotlight is to observe and analyze the role of the cognitive computing in the business intelligence to deploy the decisions making and action taking in shaping the cognitive enterprise. The in-depth knowledge analysis is mandatory to formulate new analytical methods which reduce complexity, uncertainty, or ambiguity. The chapter will provide a way to investigate and deploy the theories/techniques of cognitive computing and business intelligence in smart devices. The progression will term as smart cognitive computing that will help in design of framework, which is articulated by experience, behaviour, relationships, technology, skills, data, and context. It can access human mind albeit indirectly, learn/teach new skills, and improve from its own mistakes by means of logic-based and highly structured approaches. The resultant is in design of decision system that is more informative, smart, and helpful to the enterprise as well as society under one roof of exponential technologies.
TopBackground
Cognizant (2017) depicts the future of the cognitive computing in terms of the coexistence of human and the machines. The cognitive computing will imitate the human abilities such as learning, understanding, logics, assessment, insight observation and many more. The resultant is in the design of the decision system that is more informative, smart and helpful to the society. The techniques which assist in performing the tasks are, machine learning, deep learning, dynamic ontology to name a few. The mechanism is based on the three layers concept data processing, deduction reasoning learning and sensory perception.
Gudivada (2016) focused on the computer science prospective of the cognitive computing. It describes various kinds of learning techniques, cognitive analytic architecture, new generations’ applications, linguistics, security, privacy, and provenance. The authors compared it with the AI and found that AI is just 1 out of 28 IBM’s Watson APIs. It enriched by the analysis of the cognitive computing on the society.