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IEEE Guide for Terms and Concepts in Intelligent Process Automation
IEEE Std 2755-2017
Year: 2017
Abstract: An all-new family of software-based intelligent process automation technologies has emerged recently. Because of the newness of this kind of automation capability, there are no common definitions of concepts, capabilities, terms, technology, types, etc. This standard is published for the purpose of promoting clarity and consistency in the use of Software Based Intelligent Process Automation (SBIPA) terminology. The definitions represent the consensus of a diverse panel of industry participants.
Subject: AI
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IEEE Guide for Terms and Concepts in Intelligent Process Automation
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| contributor author | IEEE - The Institute of Electrical and Electronics Engineers, Inc. | |
| date accessioned | 2018-07-30T06:05:19Z | |
| date available | 2018-07-30T06:05:19Z | |
| date copyright | Sept. 28 2017 | |
| date issued | 2017 | |
| identifier isbn | Electronic:978-1-5044-4354-8 | |
| identifier other | 8070671.pdf | |
| identifier uri | https://yse.yabesh.ir/std/handle/yse/258340 | |
| description abstract | An all-new family of software-based intelligent process automation technologies has emerged recently. Because of the newness of this kind of automation capability, there are no common definitions of concepts, capabilities, terms, technology, types, etc. This standard is published for the purpose of promoting clarity and consistency in the use of Software Based Intelligent Process Automation (SBIPA) terminology. The definitions represent the consensus of a diverse panel of industry participants. | |
| language | English | |
| title | IEEE Guide for Terms and Concepts in Intelligent Process Automation | en |
| title | IEEE Std 2755-2017 | num |
| type | standard | |
| page | 16 | |
| tree | IEEE - The Institute of Electrical and Electronics Engineers, Inc.:;2017 | |
| contenttype | fulltext | |
| subject keywords | AI | |
| subject keywords | RPA | |
| subject keywords | artificial intelligence | |
| subject keywords | autonomic | |
| subject keywords | business process management | |
| subject keywords | cognitive computing | |
| subject keywords | data fabric | |
| subject keywords | data seeding | |
| subject keywords | digital labor | |
| subject keywords | digital workforce | |
| subject keywords | intelligent process automation | |
| subject keywords | machine learning | |
| subject keywords | narrow AI | |
| subject keywords | process choreography | |
| subject keywords | process orchestration | |
| subject keywords | robotic desktop automation | |
| subject keywords | robotic process automation | |
| subject keywords | Artificial intelligence | |
| subject keywords | Cognition | |
| subject keywords | Digital systems | |
| subject keywords | IEEE Standards | |
| subject keywords | Intelligent systems | |
| subject keywords | Machine learning | |
| subject keywords | Process management | |
| subject keywords | Robots | |
| subject keywords | IEEE standards | |
| subject keywords | factory automation | |
| subject keywords | knowledge based systems | |
| subject keywords | software engineering | |
| subject keywords | IEEE guide | |
| subject keywords | SBIPA | |
| subject keywords | automation capability | |
| subject keywords | software based intelligent process automation | |
| identifier DOI | 10.1109/IEEESTD.2017.8070671 |