The Secret Is Out: 5G Success with Intelligent AutomationThe Secret Is Out: 5G Success with Intelligent Automation

RAN Datasets Must Evolve to meet AI/ML Objectives Using standard datasets for Artificial Intelligence (AI) and Machine Learning (ML) analysis of Next Generation Radio Access Networks (RAN) will not solve many of the critical RAN capacity and coverage issues or automated intelligence goals due to their complex objectives. Legacy signaling datasets can no longer simply be correlated to resolve performance issues and service objectives for these advanced 4G/5G networks. Communications Service Providers (CSPs) know that the only path forward to next-generation AI/ML automation intelligence framework is to apply stateful analysis of raw RAN datasets and all critical emerging network variables prior to feeding AI/ML frameworks. And this path requires a journey of discovery to analyze data at the source. With 30+ years of experience working with data at NETSCOUT, we know data secrets and we are helping CSPs succeed with their next generation 4G/5G