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  • 标题:The Road to Intelligent Automation in the Energy Sector
  • 本地全文:下载
  • 作者:Sorin ANAGNOSTE ; Sorin ANAGNOSTE
  • 期刊名称:Management Dynamics in the Knowledge Economy Journal
  • 印刷版ISSN:2286-2668
  • 出版年度:2018
  • 卷号:6
  • 期号:3
  • 页码:489-502
  • 语种:English
  • 出版社:College of Management, National University of Political Studies and Public Administration
  • 摘要:With Robotic Process Automation (RPA) nearly at its peak in terms of awareness and capabilities, organizations are exploring what’s beyond it. The road to Intelligent Automation must include a cognitive roadmap that each vendor solution should consider it before developing. While RPA can cover between 10% and 40% of the processes of a business unit in each organization, intelligent automation can go much further – close to 100%. These solutions have learning capabilities attached to it and analyze decisions and act just like humans. Systems enhanced with these technologies can decide how to allocate the effort in an organization, it can stop performing some activities in order to allow performing other much more important. And while these may not seem something transformational, just knowing that a Power & Utilities (P&U) company works with this kind of robots to face the extraordinary energy requests especially during the peaks is a great thing. In this article, we will explore the new field of Intelligent Automation (IA) with a suggestive Case Study in P&U.
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