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

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The Transformative Impact of AI on Enterprise Cloud Integrations and Automation

Author(s) Mahesh Kolli
Country United States
Abstract The transformative impact of artificial intelligence on enterprise cloud integrations and automation is reshaping how organizations manage data, workflows, and security in distributed environments. AI-driven solutions are evolving traditional integration approaches into intelligent, adaptive frameworks that deliver significant advantages across multiple dimensions. These advances facilitate intelligent data integration with automated schema mapping and predictive quality management, enable workflow optimization through self-optimizing processes and digital twins, strengthen security and compliance with behavioral analytics and continuous monitoring, and support specialized infrastructure requirements for compute, storage, and networking. Enterprises implementing these technologies report substantial operational efficiency improvements, reduced costs, accelerated time-to-market, and enhanced customer experiences. Despite implementation challenges related to data quality, legacy systems, skills gaps, and change management, organizations following established best practices can achieve remarkable business transformation while positioning themselves for sustainable competitive advantage in an evolving technological landscape.
Keywords Enterprise AI Integration, Intelligent Workflow Automation, Cloud Security Intelligence, Infrastructure Optimization, Digital Business Transformation
Field Computer
Published In Volume 16, Issue 1, January-March 2025
Published On 2025-03-28
Cite This The Transformative Impact of AI on Enterprise Cloud Integrations and Automation - Mahesh Kolli - IJSAT Volume 16, Issue 1, January-March 2025. DOI 10.71097/IJSAT.v16.i1.2517
DOI https://doi.org/10.71097/IJSAT.v16.i1.2517
Short DOI https://doi.org/g896f9

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