AI-Driven Data Analytics: Insights for Telecom Growth Strategies

Abstract

AI-based data analytics represents a crucial strategy within the telecommunications industry to enhance business performance, increase network efficiency, and improve customer satisfaction. This paper investigates the transformative role of data analytics and Artificial Intelligence (AI) in the telecom sector. It examines how operators can leverage vast data reserves for improved decision-making, predictive maintenance, network optimization, and the creation of personalized customer experiences. The study explores key use cases, including dynamic network planning, self-healing networks, network capacity management, and the delivery of innovative services through network slicing. Drawing upon industry case studies, expert interviews, and recent developments, this paper underscores the critical role of AI in optimizing operations and fostering growth by enabling the introduction of new revenue-generating services. The article concludes by analyzing the strategic implications of AI-driven analytics for telecom industry advancement, focusing on enhancing profitability, strengthening market position, and maintaining competitiveness in an increasingly data-centric marketplace.