The Smart Transformation of Libyan Telecommunications: Evaluating the Impact of Artificial Intelligence on Network Optimization and Operational Efficiency
DOI:
https://doi.org/10.61952/jlabw.v2i1.473Keywords:
Artificial Intelligence, Telecommunications, Network Optimization, Libya, Digital Transformation, 5G, Operational EfficiencyAbstract
This study explore the possibilities of Artificial intelligence in upgrading Libya's telecommunications sector as it becomes crucial for Afghanistan in her post conflict digital transformation architecture. Under a descriptive case study of the Hatif Libya-Makman-Comarch OSS transformation pilot project and a scenario-based forecast based on international benchmarks in comparable emerging markets settings, this article analyses potential AI adoption impact on major network performance indicators. The findings validate that AI-based network optimization has the potential to reduce latency by 15-30, increase throughput by 10-25 and OPEX savings of 20-25% (subject to planned implementation of identified strategic enablers). These forecasts are sensitive to the level of investment, change in regulations and the acquisition of human capital. The paper addresses the dearth of literature on AI adoption in a fragile-state telecommunications setting by correlating global experience with local efforts and offers a replicable analytical model for examining AI readiness within developing markets. Results show that AI represents an important opportunity for the digital transformation of Libya, but suggests that it will demand a substantial investment to address the current infrastructure deficit (though no market capitalization as such can be calculated for this), This is estimated at $5 billion, and there would be a need to put in place strong data governance frameworks forehand.
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