The Role of Artificial Intelligence and Machine Learning in Advancing Network Automation in Uganda: Opportunities, Challenges, and Strategic Insights | Publications
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Aug. 8, 2026, 7:03 a.m.
Uganda's telecommunications sector is undergoing rapid digital transformation, with artificial intelligence and machine learning emerging as critical technologies for network modernization. This comprehensive review examines AI/ML adoption across Uganda's telecom landscape, where these technologies enable network automation, predictive maintenance, fault detection, traffic optimization, and dynamic resource allocation. While operators have made early progress through initiatives with the Telecom Infra Project, 5G deployments, and network-sharing agreements, significant barriers impede scaling. Key challenges include limited local AI expertise, insufficient infrastructure, data availability constraints, and regulatory uncertainties. The research synthesizes current deployments and pilot programs while evaluating technical, economic, and regulatory obstacles facing network operators. For sustainable advancement, the study recommends strategic interventions including workforce capacity building, investment in open and interoperable network architectures, and implementation of robust data governance policies. These measures are essential for policymakers, network operators, and researchers seeking to unlock AI-driven network automation's full potential and ensure Uganda's telecommunications sector remains competitive in next-generation technology adoption.