Senza Fili Sparring Partners

AI in the RAN: A data-first path to full automation. With Karsten Gaenger at NETSCOUT

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Integrating AI into the RAN is no longer a fanciful promise: it has become an unavoidable tool for managing complexity, increasing network efficiency, and reducing costs in an environment where revenues are stagnant.

Karsten Gaenger, Principal Product Line Manager for the RAN at NETSCOUT, outlines a strategy for integrating AI into the RAN, starting with traditional AI/ML models and gradually integrating LLMs and AI agents, assisting operators on their path to Layer 5 automation.

  • Data reliability: Success depends on high-quality, correlated, AI-normalized datasets
  • Gradual adoption path: Operators can start with 4G or 5G, and move forward at a manageable pace that fits their needs
  • Benefit from a diverse ecosystem: APIs, telco-specific LLMs and MCP give operators end-to-end, vendor-independent visibility across capacity, mobility, and services
  • Beyond KPIs: AI enables scalable root-cause analysis, prediction, and faster repair, with start-to-finish analysis and monitoring of procedures

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