The Role of AI/ML in Digital Transformation

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.

Authors

Publication Details

Journal
International Journal on Science and Technology
Published
2025-03-22
DOI
https://doi.org/10.71097/ijsat.v16.i1.2705
Primary Topic
Economic Development and Digital Transformation
Type
article
Field-Weighted Citation Impact
0.00
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article

The Role of AI/ML in Digital Transformation

Vishnu Bhat
International Journal on Science and Technology
Economic Development and Digital Transformation
article

The Role of AI/ML in Digital Transformation

Vishnu Bhat
article en

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.

International Journal on Science and TechnologyVol. 16(1)
Openalex Percentile: Top 92%
Economic Development and Digital Transformation
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