Beitrag in einem Tagungsband

The Rise of Generative AI in Low Code Development Platforms – An Analysis and Future Directions



Details zur Publikation
Autor(inn)en:
Bruhin, O.; Dickhaut, E.; Elshan, E.; Li, M.
Herausgeber:
Tung X. Bui
Verlagsort / Veröffentlichungsort:
Waikiki, Hawaii, USA

Publikationsjahr:
2024
Seitenbereich:
7780-7789
Buchtitel:
Hawaii International Conference on System Sciences (HICSS)
ISBN:
978-0-9981331-7-1
Sprachen:
Englisch


Zusammenfassung, Abstract

This study investigates the relationship between Generative AI (GenAI) and Low Code Development Platforms (LCDPs), providing preliminary insights into Gen's transformative potential in this context. It is based on expert interviews and provides insight into the changing landscape of LCDPs influenced by GenAI. The findings highlight the promising benefits of GenAI in LCDPs, such as increased efficiency and decreased errors, while also emphasizing the importance of human oversight and collaboration. The findings also highlight the importance of interpersonal skills in IT, even in an increasingly automated environment. While the economic efficiency and broader implications of GenAI are still being investigated, the study lays the groundwork for future research in this rapidly evolving domain.



Schlagwörter
Generative AI, itegpub, Low Code Development, pub edi, pub mli, Research Directions

Zuletzt aktualisiert 2024-12-01 um 14:21