Reiter Affiliated Companies LLC, USA.
World Journal of Advanced Engineering Technology and Sciences, 2025, 15(01), 374-380
Article DOI: 10.30574/wjaets.2025.15.1.0207
Received on 25 February 2025; revised on 03 April 2025; accepted on 05 April 2025
This article examines the revolutionary integration of artificial intelligence and machine learning technologies with cloud platforms, creating intelligent automation systems that transcend traditional approaches. The convergence of these technologies enables cognitive capabilities that learn, adapt, and optimize processes with minimal human intervention across enterprise cloud environments. By incorporating dynamic resource allocation, workload prediction, and comprehensive infrastructure analysis, these systems deliver substantial improvements in operational efficiency while reducing management overhead through intelligent resource orchestration. The implementation strategies discussed include API-driven automation, low-latency pipelines, and seamless service integration techniques that collectively enhance development velocity and system performance. The transformational impact on enterprises manifests through continuous scalability, high-performance computation, and unprecedented operational resilience, particularly when leveraging edge computing architectures. The integration of artificial intelligence with cloud platforms represents a paradigm shift from reactive troubleshooting to preventative optimization, offering organizations unprecedented opportunities for operational excellence in an increasingly complex digital landscape.
Intelligent Automation; Cloud Integration; Edge Computing; Self-Adjusting Systems; Predictive Maintenance
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Revanth Reddy Rondla. Innovation in cloud platform integration with intelligent automation. World Journal of Advanced Engineering Technology and Sciences, 2025, 15(01), 374-380. Article DOI: https://doi.org/10.30574/wjaets.2025.15.1.0207.