The Strategic Impacts of Intelligent Automation for Knowledge and Service Work: An Interdisciplinary Review

Abstract

The main purpose of this paper is to review the strategic impacts of Intelligent Automation for knowledge and service work. Artificial Intelligence (AI) and its subfields have made great progress in recent years in automating knowledge and service tasks. This phenomenon is referred to as Intelligent Automation. As a result of this change, companies now have a new strategic option to boost their company value. Intelligent Automation is a more advanced kind of automation in which robots imitate human activities and have cognitive skills such as natural language processing, voice recognition, computer vision technologies, and machine learning. Such intelligent computers absorb huge amounts of organized and unstructured data, analyze, interpret, and learn it on the fly, and intelligently automate activities to increase operational and corporate efficiency [1]. The notion of automation in the digital age is expanding, and technology is developing day by day, incorporating more human brain functions into computers. As predicted by a report published last year, the BFSI robotic automation industry is likely to develop at a compound annual growth rate (CAGR) of 75%, reaching USD 835 million by 2020.According to the survey, the quick adoption rate implies that during the anticipated time, BFSI organizations would prioritize spending in training and ownership of automation technology above investing in professional services to automate operations. These phenomena are being studied by academics from a broad variety of academic fields, but there is no agreement on the major results and ramifications as a result [1].

Keywords: Artificial intelligence, automation, robotics, algorithms, robotics, service work, machine learning