University of Houston ClearLake, USA.
International Journal of Science and Research Archive, 2025, 14(01), 766-772
Article DOI: 10.30574/ijsra.2025.14.1.0121
Received on 02 December 2024; revised on 13 January 2025; accepted on 15 January 2025
The convergence of human expertise and artificial intelligence is revolutionizing telecom network automation, creating a synergistic approach to managing complex network infrastructures. This transformation encompasses automated operations, advanced analytics, and strategic decision-making capabilities while maintaining human oversight in critical areas. Through closed-loop automation frameworks, telecom providers are achieving enhanced operational efficiency, improved service reliability, and reduced maintenance costs. The integration of AI-driven solutions with human expertise has enabled predictive maintenance, dynamic resource allocation, and sophisticated pattern recognition while ensuring compliance and governance. As networks become increasingly complex with the integration of 5G, IoT, and edge computing technologies, this human-AI collaboration model proves essential for maintaining operational excellence and driving innovation in telecommunications infrastructure management.
Network Automation; Human-AI Collaboration; Closed-loop Systems; Predictive Maintenance; Telecommunications Infrastructure
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Kranthi Kumar Pasunuri. Collaboration between Humans and AI in Telecom Network Automation. International Journal of Science and Research Archive, 2025, 14(01), 766-772. Article DOI: https://doi.org/10.30574/ijsra.2025.14.1.0121.
Copyright © 2025 Author(s) retain the copyright of this article. This article is published under the terms of the Creative Commons Attribution Liscense 4.0







