In the fiercely Real-time dynamic telecom industry, revenue leakage poses a significant threat to profitability. Unidentified billing discrepancies can lead to lost revenue and erode customer confidence. To effectively combat this challenge, telecom providers must implement robust strategies to identify and rectify hidden revenue leakage points. Th

SIM box fraud poses a significant threat to telecom operators worldwide, eroding revenue and jeopardizing network integrity. To effectively combat this illicit activity, a multi-layered approach is essential. This involves implementing robust security measures at multiple stages of the telecom lifecycle. Initially, operators must strengthen their

Telecommunication fraud/theft/deceit is a pervasive problem, costing service providers and consumers billions of dollars annually. Machine learning (ML) offers a powerful arsenal to combat this ever-evolving threat. By analyzing vast datasets of call records, network traffic, and user behavior patterns, ML algorithms can identify/detect/uncover ano