AI-Driven Digital Transformation Frameworks in Enterprise IT Ecosystems

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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Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-04-30
DOI
https://doi.org/10.5281/zenodo.17156868
Primary Topic
Mathematics, Computing, and Information Processing
Type
article
Field-Weighted Citation Impact
0.00
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article

AI-Driven Digital Transformation Frameworks in Enterprise IT Ecosystems

Zenodo (CERN European Organization for Nuclear Research)
Mathematics, Computing, and Information Processing
article

AI-Driven Digital Transformation Frameworks in Enterprise IT Ecosystems

article en

Abstract

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.

Zenodo (CERN European Organization for Nuclear Research)
Symbiosis International University (IN)
Openalex Percentile: Top 46%
Mathematics, Computing, and Information Processing
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