Optimizing Incident Management in Telecommunications Networks through the Integration of Artificial Intelligence

Racheru Cătălina-Ileana (), Despa Andreea-Raluca () and Militaru Gheorghe ()
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Racheru Cătălina-Ileana: National University of Science and Technology POLITEHNICA Bucharest
Despa Andreea-Raluca: National University of Science and Technology POLITEHNICA Bucharest
Militaru Gheorghe: National University of Science and Technology POLITEHNICA Bucharest

Proceedings of the International Conference on Business Excellence, 2025, vol. 19, issue 1, 3609-3622

Abstract: For the field of telecommunications, the artificial intelligence (AI) has revolutionized the way of networking, due to improved scalability, reliability and efficiency networks. This research provides an insight into the role of artificial intelligence in telecom companies concentrating on its effectiveness on cost reduction, service quality, and network performance analysis. As traditional network growth they are seeing in customer demand for faster issue resolution and better management solutions. Artificial intelligence is one of the key enablers with the help of lowering the cost of operation and decreased energy usage while reducing the reliance on redundant manual actions. Involving objectifying the incident resolution in Bizagi by using simulations of two types of scenarios including artificial intelligence and scenario excluding the artificial intelligence. These scenarios were assessed both on cost, throughput and resource usage. Respondent level data were also collected from a survey that was administered to staff, supported the findings of the case study, data were analysed using Pearson and Tests of the equivalence of the proportions were performed via Chi-square tests in IBM SPSS Statistics. The simulation results reveal that AI based schemes improve the network resource consumption and we also find that energy consumption. speed up customer response times and improve demand management at peak times. Moreover, the incorporation of AI helps telecom companies to foreknow the issues in the service to effectively prevent the future failures. AI adopting plays important in telecom. This paper draws attention to the transformative power of artificial intelligence in sensing achiever in the engineering. Further, a questionnaire that were completed by with the company’s employees helped support the case study results whose analysis was done with Pearson and Chi-square analyses in IBM SPSS Statistics. The findings show that AI- enabled methods maximize network resources and maximize the inflation function. speedup customer reply times but also improve demand management in peak time. Moreover, the The embedded AI integration allows telecom operators to predict and prevent potential failures and hence Reduce the both downtime and downtime. reducing disruptions. This paper emphasizes the important power of artificial intelligence to process telecommunication optimization, which may provide useful for the companies who wish to increase functioning effectiveness and enhance customer satisfaction.

Keywords: artificial intelligence; telecom; network; performance (search for similar items in EconPapers)
Date: 2025
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Persistent link: https://EconPapers.repec.org/RePEc:vrs:poicbe:v:19:y:2025:i:1:p:3609-3622:n:1031

DOI: 10.2478/picbe-2025-0275

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