TY - GEN
T1 - Beyond the Code The Role of Non-Traditional Sectors in Shaping Generative AI Innovations and Transforming Global Industries
AU - Glantz, Edward J.
AU - Peca, Joanne C.
AU - Nasereddin, Mahdi
AU - Stager, Sarah J.
AU - Bartolacci, Michael R.
N1 - Publisher Copyright:
© 2024 Copyright held by the owner/author(s).
PY - 2024/12/8
Y1 - 2024/12/8
N2 - This paper examines the role of non-traditional sectors in integrating and advancing Generative Artificial Intelligence (GenAI) across diverse industries, extending beyond the traditional boundaries of the technology sector. Non-traditional sector players in GenAI have recently enabled a foothold in both industry and education to rapidly expand. With a focus on healthcare, agriculture, education, and finance, we highlight case studies that demonstrate the innovative applications of GenAI, illustrating its capability to drive significant industry transformations. Through this exploration, the paper emphasizes the crucial role of interdisciplinary collaboration in catalyzing technological progress and broadening the impact of GenAI. By providing a comprehensive analysis of the current and potential future states of GenAI applications, this research aims to deepen understanding of its broader societal and economic implications. This study not only captures GenAI’s transformative potential but also addresses the dual narrative of GenAI as both a promising tool, particularly for education, and a formidable challenge, underscoring its growing influence in non-traditional sectors.
AB - This paper examines the role of non-traditional sectors in integrating and advancing Generative Artificial Intelligence (GenAI) across diverse industries, extending beyond the traditional boundaries of the technology sector. Non-traditional sector players in GenAI have recently enabled a foothold in both industry and education to rapidly expand. With a focus on healthcare, agriculture, education, and finance, we highlight case studies that demonstrate the innovative applications of GenAI, illustrating its capability to drive significant industry transformations. Through this exploration, the paper emphasizes the crucial role of interdisciplinary collaboration in catalyzing technological progress and broadening the impact of GenAI. By providing a comprehensive analysis of the current and potential future states of GenAI applications, this research aims to deepen understanding of its broader societal and economic implications. This study not only captures GenAI’s transformative potential but also addresses the dual narrative of GenAI as both a promising tool, particularly for education, and a formidable challenge, underscoring its growing influence in non-traditional sectors.
UR - http://www.scopus.com/inward/record.url?scp=85215968031&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85215968031&partnerID=8YFLogxK
U2 - 10.1145/3686852.3687066
DO - 10.1145/3686852.3687066
M3 - Conference contribution
AN - SCOPUS:85215968031
T3 - Proceedings of 25th Annual Conference on Information Technology Education, SIGITE 2024
SP - 1
EP - 6
BT - Proceedings of 25th Annual Conference on Information Technology Education, SIGITE 2024
PB - Association for Computing Machinery, Inc
T2 - 25th Annual Conference on Information Technology Education, SIGITE 2024
Y2 - 9 October 2024 through 11 October 2024
ER -