Location
Hilton Hawaiian Village, Honolulu, Hawaii
Event Website
https://hicss.hawaii.edu/
Start Date
3-1-2024 12:00 AM
End Date
6-1-2024 12:00 AM
Description
This study investigates the relationship between Generative Artificial Intelligence (GAI) and Low Code Development Platforms (LCDPs), providing preliminary insights into GAI's transformative potential in this context. It is based on expert interviews and provides insight into the changing landscape of LCDPs influenced by GAI. The findings highlight the promising benefits of GAI 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 GAI are still being investigated, the study lays the groundwork for future research in this rapidly evolving domain.
Recommended Citation
Bruhin, Olivia; Dickhaut, Ernestine; Elshan, Edona; and Li, Mahei, "The Rise of Generative AI in Low Code Development Platforms – An Analysis and Future Directions." (2024). Hawaii International Conference on System Sciences 2024 (HICSS-57). 10.
https://aisel.aisnet.org/hicss-57/st/sw_development/10
The Rise of Generative AI in Low Code Development Platforms – An Analysis and Future Directions.
Hilton Hawaiian Village, Honolulu, Hawaii
This study investigates the relationship between Generative Artificial Intelligence (GAI) and Low Code Development Platforms (LCDPs), providing preliminary insights into GAI's transformative potential in this context. It is based on expert interviews and provides insight into the changing landscape of LCDPs influenced by GAI. The findings highlight the promising benefits of GAI 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 GAI are still being investigated, the study lays the groundwork for future research in this rapidly evolving domain.
https://aisel.aisnet.org/hicss-57/st/sw_development/10