This review analyzes AI's impact on digital transformation in enterprises, suggesting approaches for automation and data governance.
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.
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Souvari Ranjan Biswal (2025) studied this question.
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