Pasunuri, Kranthi Kumar (2025) Collaboration between Humans and AI in Telecom Network Automation. International Journal of Science and Research Archive, 14 (1). pp. 766-772. ISSN 2582-8185
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Abstract
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.
Item Type: | Article |
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Official URL: | https://doi.org/10.30574/ijsra.2025.14.1.0121 |
Uncontrolled Keywords: | Network Automation; Human-AI Collaboration; Closed-loop Systems; Predictive Maintenance; Telecommunications Infrastructure |
Depositing User: | Editor IJSRA |
Date Deposited: | 13 Jul 2025 14:17 |
Related URLs: | |
URI: | https://eprint.scholarsrepository.com/id/eprint/641 |