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AUTOMATION
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ARTIFICIAL INTELLIGENCE
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MACHINE LEARNING
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About |
Automation is rapidly advancing along a few new directions. Traditionally, automation employed ‘feedback control’ to perform a task or to keep a parameter of interest within a specified limit. It transformed industries in several ways, replacing much of the manual work. Then, robotic process automation (RPA) helped to automate and speed up key business workflows. Now, driven by artificial intelligence (AI), machine learning (ML), autonomous operational capabilities, smart materials, GPS data and other technologies, traditional automation is being enhanced with several advanced features such as intelligence, the ability to work collaboratively, the competency to deal with unknown or uncertain environments, and with the ability to perform satisfactorily even with partial information. This enhanced automation, known as smart automation, hyper automation, intelligent automation and intelligent RPA (IRPA), is now receiving significant interest among researchers, developers, business and industry. While it is both promising and encouraging, it also raises a few technical, organizational, managerial, social, ethical and regulatory issues and challenges which need to be satisfactorily addressed. |
Call for Papers |
An upcoming issue of Cutter Business Technology Journal, Guest Edited by San Murugesan, aims to examine the emergence of the new face of automation and explore novel ways to address various issues and challenges it presents. It’ll also examine the disruptions it might cause and the impact on businesses, the job landscape, and society. Furthermore, it will discuss how the IT industry and IT professionals can get ready to embrace the new frontiers in automation. For this issue, we’re seeking insights and perspectives from practitioners, academics, consultants, visionaries and industry experts that address one or more of the following questions:
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Credits and Sources |
[1] IA 2020 : Intelligent Automation: The Gateway to Optimizing Business Performance |