Designing workforce management systems for industry 4.0: data-centric and AI-enabled approaches
This book brings insight to the HR management system and offers data-centric approaches and AI-enabled applications for the design and implementation strategies used for workforce development and management. Designing Workforce Management Systems for Industry 4.0: Data-Centric and AI-Enabled Approac...
Gespeichert in:
| Weitere Verfasser: | , , |
|---|---|
| Format: | Elektronisch E-Book |
| Sprache: | English |
| Veröffentlicht: |
Boca Raton
CRC PRESS
2024
|
| Online-Zugang: | DE-573 Volltext |
| Zusammenfassung: | This book brings insight to the HR management system and offers data-centric approaches and AI-enabled applications for the design and implementation strategies used for workforce development and management. Designing Workforce Management Systems for Industry 4.0: Data-Centric and AI-Enabled Approaches focuses on the mechanisms of proposing solutions along with architectural concepts, design principles, smart solutions, and intelligent predictions with visualization simulation. Data visualization for the metrics of management systems and robotic process automation applications and tools are also offered. This book is also useful as a reference for those involved in AI-enabled applications, data analytics, data visualization, as well as systems engineering and systems designing |
| Beschreibung: | 1 Online-Ressource (xxiii, 251 Seiten) |
| ISBN: | 9781003357070 |
| DOI: | 10.1201/9781003357070 |
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| id | DE-604.BV049902693 |
| illustrated | Not Illustrated |
| indexdate | 2024-12-06T15:06:58Z |
| institution | BVB |
| isbn | 9781003357070 |
| language | English |
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| spelling | Designing workforce management systems for industry 4.0 data-centric and AI-enabled approaches Edited by Alex Khang, Sita Rani, Rashmi Gujrati, Hayri Uygun, and Shashi Kant Gupta Boca Raton CRC PRESS 2024 1 Online-Ressource (xxiii, 251 Seiten) txt rdacontent c rdamedia cr rdacarrier This book brings insight to the HR management system and offers data-centric approaches and AI-enabled applications for the design and implementation strategies used for workforce development and management. Designing Workforce Management Systems for Industry 4.0: Data-Centric and AI-Enabled Approaches focuses on the mechanisms of proposing solutions along with architectural concepts, design principles, smart solutions, and intelligent predictions with visualization simulation. Data visualization for the metrics of management systems and robotic process automation applications and tools are also offered. This book is also useful as a reference for those involved in AI-enabled applications, data analytics, data visualization, as well as systems engineering and systems designing Khang, Alex (DE-588)1333979959 edt Rani, Sita (DE-588)1287702929 edt Gujrati, Rashmi edt Uygun, Hayri Sonstige oth Gupta, Shashi Kant Sonstige (DE-588)1337481467 oth Erscheint auch als Druck-Ausgabe, Hardcover 978-1-032-40824-8 Erscheint auch als Druck-Ausgabe, Paperback 978-1-032-41265-8 https://doi.org/10.1201/9781003357070 Verlag URL des Erstveröffentlichers Volltext |
| spellingShingle | Designing workforce management systems for industry 4.0 data-centric and AI-enabled approaches |
| title | Designing workforce management systems for industry 4.0 data-centric and AI-enabled approaches |
| title_auth | Designing workforce management systems for industry 4.0 data-centric and AI-enabled approaches |
| title_exact_search | Designing workforce management systems for industry 4.0 data-centric and AI-enabled approaches |
| title_full | Designing workforce management systems for industry 4.0 data-centric and AI-enabled approaches Edited by Alex Khang, Sita Rani, Rashmi Gujrati, Hayri Uygun, and Shashi Kant Gupta |
| title_fullStr | Designing workforce management systems for industry 4.0 data-centric and AI-enabled approaches Edited by Alex Khang, Sita Rani, Rashmi Gujrati, Hayri Uygun, and Shashi Kant Gupta |
| title_full_unstemmed | Designing workforce management systems for industry 4.0 data-centric and AI-enabled approaches Edited by Alex Khang, Sita Rani, Rashmi Gujrati, Hayri Uygun, and Shashi Kant Gupta |
| title_short | Designing workforce management systems for industry 4.0 |
| title_sort | designing workforce management systems for industry 4 0 data centric and ai enabled approaches |
| title_sub | data-centric and AI-enabled approaches |
| url | https://doi.org/10.1201/9781003357070 |
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