The document explains how AI-powered network optimization helps telecom providers improve performance, reduce strain, and enhance user experience by correlating network and service KPIs. It addresses challenges like handover failures, weak coverage, and latency. Quantiphi’s capabilities include predictive optimization using advanced modeling and dynamic optimization through real-time closed-loop automation. Page 2 describes their self-organizing network approach, moving from data processing to diagnostics and optimization. Key benefits include better troubleshooting, increased visibility, stronger end-to-end monitoring, and improved network agility, with gains ranging from 20–30%.

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