SUMMARY
Modern AI, including generative and agentic applications, has great promise. It can transform centralized and edge datacenter operations, supercharge workloads, and streamline use cases. Furthermore, mobile networks stand to benefit from next-generation AIOps thanks to enhanced agility in communication service provider provisioning and management, as well as higher availability — all realized through automation. Future mobile network standards, including 5G Advanced and 6G, are expected to not only incorporate AI into the radio access network layer, but also the core and transport functions. This should help optimize performance, ease management, reduce energy expenses, and more.
However, there are multiple barriers to entry within the modern AIOps journey, including the high costs tied to the use of purpose-built silicon, the lack of completeness of available solutions, and lifecycle management friction. Consequently, CSPs demand end-to-end intelligent network automation for deployment scalability, full-stack observability for assurance, and robust security to account for the massive threat surface created by mobile subscribers and devices.
Moor Insights & Strategy believes that Samsung Networks is well positioned to address these challenges and meet CSPs’ needs with its Samsung CognitiV Network Operations Suite (NOS). The platform provides automation capabilities at scale, AI applications that fine-tune energy consumption and RAN performance, and ease of deployment and network management assisted by natural-language AI copilot functionality.
