Why current Network Operation Centers (NOCs) can’t scale – and what comes next

This article from GSMA Member Capgemini explores why traditional NOCs can’t scale to meet the needs of modern telecom networks.

Traditional NOCs (Network Operations Centers) are built to monitor and manage network performance – ensuring infrastructure runs reliably. But they fail to deliver what modern telcos need: end to end service assurance across dynamic digital ecosystems, where services span multiple domains, platforms and partners.

Enter Dark NOCs and their vision to move beyond the limitations of traditional NOCs by combining technologies including agentic AI and Gen AI, digital twins, semantic modeling and knowledge graphs to provide context aware coordinated decision making. Their promise is to deliver autonomous networks that offer a “Zero-X” experience (zero wait, zero touch, zero trouble) and step-change improvements in operational performance.  

Yet as enterprises race to apply generative AI to autonomous operations and the “Dark NOC,” a fundamental challenge becomes clear: how can these models reliably interact with structured data that lives in databases and operational systems of record? The future of operations is not more automation. It is intelligent autonomy. Here is how to get there. 

This paper explores how these technologies transform structured operational data into an AI-ready format, enabling LLMs and generative AI to deliver meaningful, context-aware insights. You will learn how this approach expands automation, strengthens digital twins, and accelerates the path to intelligent, autonomous operations, laying the groundwork for the next generation of Dark NOCs. 

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