- Open Access
- Article
AI-Driven Digital Transformation: Challenges and Opportunities
by Maikel Leon* 
Department of Business Technology, Miami Herbert Business School, University of Miami, Miami, Florida, USA
* Author to whom correspondence should be addressed.
Journal of Engineering Research and Sciences, Volume 4, Issue 4, Page # 8-19, 2025; DOI: 10.55708/js0404002
Keywords: AI-Driven Digital Transformation, Machine Learning, Generative AI
Received: 03 March 2025, Revised: 31 March 2025, Accepted: 22 April 2025, Published Online: 27 April 2025
(This article belongs to the Special Issue Special Issue on Multidisciplinary Sciences and Advanced Technology 2024 & Section Computer Science and Information Technology: Artificial Intelligence – Computer Science (AIC))
APA Style
Leon, M. (2025). AI-driven digital transformation: Challenges and opportunities. Journal of Engineering Research and Sciences, 4(4), 8–19. https://doi.org/10.55708/js0404002
Chicago/Turabian Style
Leon, M. 2025. “AI-Driven Digital Transformation: Challenges and Opportunities.” Journal of Engineering Research and Sciences 4 (4): 8–19. https://doi.org/10.55708/js0404002.
IEEE Style
M. Leon, “AI-driven digital transformation: Challenges and opportunities,” J. Eng. Res. Sci., vol. 4, no. 4, pp. 8–19, 2025, doi: 10.55708/js0404002.
This paper explores the crucial role of Artificial Intelligence (AI) in driving digital transformation across industries. It examines machine learning, deep learning, fuzzy logic, genetic algorithms, reinforcement learning, and generative AI techniques, highlighting their development, applications, and examples. Case studies showcase AI’s impact in optimizing supply chains, improving financial operations, boosting customer engagement, and revolutionizing quality control in manufacturing, underscoring its strategic importance. The paper also discusses executive-level considerations, including strategic approaches, data governance, ethical frameworks, transparency, and collaboration across departments, all illustrated with examples. While AI offers significant potential for organizational growth, operational excellence, and sustainable innovation, there’s an open call for further research into the evolving ethical, regulatory, and technological challenges.
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