AI-driven cloud-edge synergy in telecom: An approach for real-time data processing and latency optimization

Oladejo, Adedeji Ojo and Olufemi, Omoniyi David and Kamau, Eunice and Mike-Ewewie, David O and Olajide, Adebayo Lateef and Williams, Daniel (2025) AI-driven cloud-edge synergy in telecom: An approach for real-time data processing and latency optimization. World Journal of Advanced Engineering Technology and Sciences, 14 (3). pp. 462-495. ISSN 2582-8266

In recent years, the telecommunication industry has seen significant advancements with the integration of AI, cloud computing, and edge computing. These technologies, when combined, enable telecom providers to process data more effectively, minimize latency, and enhance service delivery. This paper explores the synergy between AI, cloud, and edge computing in the telecom sector, highlighting innovative approaches to real-time data processing and latency optimization. Through a deep dive into emerging trends, this article identifies novel methodologies and applications in AI-driven cloud-edge integration, with a focus on telecom infrastructure, 5G networks, and IoT ecosystems.