Symbiosis International University, Pune, India.
International Journal of Science and Research Archive, 2025, 15(01), 1911-1921
Article DOI: 10.30574/ijsra.2025.15.1.1188
Received on 15 March 2025; revised on 24 April 2025; accepted on 28 April 2025
Enterprise IT and artificial intelligence have converged, resulting in a digital transformation era. This review brings together existing literature about AI-based transformation models on the one hand and how businesses can use machine learning, automation, cloud-native structures, and ethical design processes to increase their productivity, adaptability, and strategic worth. We provide block diagrams and theoretical models, look through ten essential research publications, analyze implementation in experiments, and mention further trends. Some of the issues that have been common in the review are legacy systems integration, data governance, and talent readiness. This is followed by a roadmap to achieving modular, ethical, and explainable AI ecosystems that lead to transformation at scale.
AI; Digital Transformation; Enterprise IT; MLOps; Cloud-native Architecture; Intelligent Automation AI Ethics; Low-code AI; Explainable AI; Federated Learning
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Souvari Ranjan Biswal. AI-Driven Digital Transformation Frameworks in Enterprise IT Ecosystems. International Journal of Science and Research Archive, 2025, 15(01), 1911-1921. Article DOI: https://doi.org/10.30574/ijsra.2025.15.1.1188.
Copyright © 2025 Author(s) retain the copyright of this article. This article is published under the terms of the Creative Commons Attribution Liscense 4.0







