International Journal on Science and Technology

E-ISSN: 2229-7677     Impact Factor: 9.88

A Widely Indexed Open Access Peer Reviewed Multidisciplinary Bi-monthly Scholarly International Journal

Call for Paper Volume 16 Issue 2 April-June 2025 Submit your research before last 3 days of June to publish your research paper in the issue of April-June.

The Role of AI/ML in Digital Transformation

Author(s) Varun Narayan Bhat
Country United States
Abstract This comprehensive technical article explores the transformative impact of artificial intelligence (AI) and machine learning (ML) technologies on enterprise digital transformation initiatives. It examines the current state of AI/ML adoption across industries, highlighting key applications including intelligent process automation, advanced analytics, and customer experience enhancement. The article provides detailed analysis of how AI/ML redefines enterprise capabilities through predictive analytics, natural language processing, and computer vision applications. It further investigates how these technologies drive business value through data-driven insights, personalized customer experiences, and process optimization. Implementation considerations including data infrastructure, MLOps, and organizational factors are discussed in depth. The article concludes with an exploration of emerging trends such as federated learning, generative AI, edge computing, and AI-augmented decision making. Throughout, the article presents research-backed evidence of the quantifiable business impact achieved by organizations successfully implementing these technologies.
Keywords Digital transformation, artificial intelligence, machine learning, enterprise AI adoption, business value
Field Computer > Artificial Intelligence / Simulation / Virtual Reality
Published In Volume 16, Issue 1, January-March 2025
Published On 2025-03-22
Cite This The Role of AI/ML in Digital Transformation - Varun Narayan Bhat - IJSAT Volume 16, Issue 1, January-March 2025. DOI 10.71097/IJSAT.v16.i1.2705
DOI https://doi.org/10.71097/IJSAT.v16.i1.2705
Short DOI https://doi.org/g892d7

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