Heavy Reading Analyst Note: Moving Beyond Basic Automation with AI-Powered RAN
Autonomous RAN networks powered by advanced analytics proactively optimize and assure network and service quality.
Ruth Brown, principal analyst for the Wireless Networks group at Heavy Reading (part of Omdia), recently published an analyst note titled “AI-Powered RAN: Moving Beyond Basic Automation.”
In this article she makes the following observations:
- To meet evolving customer service expectations, operators are looking to ensure their networks operate proactively to deliver high performance and superior experiences in the face of growing network complexity. For the radio access network (RAN), operators are under significant pressure to automate or risk being left behind.
- Among global providers, RAN automation levels vary considerably, with many organizations still in the early stages of implementation, if begun at all. Opportunities exist for these partial autonomous networks with continued investment in technologies that can address increasing network complexity and improve customer experience and efficiency.
Brown highlights three key areas of concentration, offering an industry look at best practices for data observability, analytics, and multi-agent systems. To learn how proactive intelligent automation is transforming traditional root-cause analysis (RCA) for problems such as cell faults, read the full analyst note.
Learn more about how NETSCOUT delivers industry-leading value for RAN complexities that outpace human capabilities.