Can RE Help Better Prepare Industrial AI for Commercial Scale?
(2022) In IEEE Software 39(6). p.8-12- Abstract
This issue marks the start of my term as department editor for the “Requirements” column. I very much look forward to exploring contemporary aspects of requirements and requirements engineering (RE) in the coming years! As an institute researcher with RISE, I primarily work in strictly regulated domains, in which requirements are cornerstones in the development activities. Please check my introduction in the September/October 2022 issue of IEEE Software for more about my background. In this issue—featuring a theme that perfectly matches my current research interests—we discuss RE4AI from the perspective of Siemens Digital Industries. Referring to this as industrial artifical intelligence (AI), we share insights from our numerous chats... (More)
This issue marks the start of my term as department editor for the “Requirements” column. I very much look forward to exploring contemporary aspects of requirements and requirements engineering (RE) in the coming years! As an institute researcher with RISE, I primarily work in strictly regulated domains, in which requirements are cornerstones in the development activities. Please check my introduction in the September/October 2022 issue of IEEE Software for more about my background. In this issue—featuring a theme that perfectly matches my current research interests—we discuss RE4AI from the perspective of Siemens Digital Industries. Referring to this as industrial artifical intelligence (AI), we share insights from our numerous chats about this topic in the last two years, including formal interviews with key stakeholders. In this column, we argue that the business side of AI has been underexplored—and that RE can help us forward.—Markus Borg.
(Less)
- author
- Scharinger, Boris ; Borg, Markus LU ; Vogelsang, Andreas and Olsson, Thomas LU
- organization
- publishing date
- 2022
- type
- Contribution to journal
- publication status
- published
- subject
- in
- IEEE Software
- volume
- 39
- issue
- 6
- pages
- 5 pages
- publisher
- IEEE - Institute of Electrical and Electronics Engineers Inc.
- external identifiers
-
- scopus:85141637687
- ISSN
- 0740-7459
- DOI
- 10.1109/MS.2022.3196205
- language
- English
- LU publication?
- yes
- id
- 19fb4f6d-49f3-4e60-b939-9dfae256cded
- date added to LUP
- 2022-12-08 13:00:36
- date last changed
- 2023-11-20 07:35:32
@article{19fb4f6d-49f3-4e60-b939-9dfae256cded,
abstract = {{<p>This issue marks the start of my term as department editor for the “Requirements” column. I very much look forward to exploring contemporary aspects of requirements and requirements engineering (RE) in the coming years! As an institute researcher with RISE, I primarily work in strictly regulated domains, in which requirements are cornerstones in the development activities. Please check my introduction in the September/October 2022 issue of IEEE Software for more about my background. In this issue—featuring a theme that perfectly matches my current research interests—we discuss RE4AI from the perspective of Siemens Digital Industries. Referring to this as industrial artifical intelligence (AI), we share insights from our numerous chats about this topic in the last two years, including formal interviews with key stakeholders. In this column, we argue that the business side of AI has been underexplored—and that RE can help us forward.—Markus Borg.</p>}},
author = {{Scharinger, Boris and Borg, Markus and Vogelsang, Andreas and Olsson, Thomas}},
issn = {{0740-7459}},
language = {{eng}},
number = {{6}},
pages = {{8--12}},
publisher = {{IEEE - Institute of Electrical and Electronics Engineers Inc.}},
series = {{IEEE Software}},
title = {{Can RE Help Better Prepare Industrial AI for Commercial Scale?}},
url = {{http://dx.doi.org/10.1109/MS.2022.3196205}},
doi = {{10.1109/MS.2022.3196205}},
volume = {{39}},
year = {{2022}},
}