Why trusted, real-time network intelligence is the foundation for autonomous telecom operations.
As telecom networks evolve toward AI-driven autonomy, operators face a critical challenge: AI agents are only as reliable as the data they trust. This Omdia white paper, commissioned by RADCOM, explores why robust data assurance is essential to enable safe, scalable, and high-impact agentic AI.
Why Agentic AI Demands a New Assurance Foundation
Telecom operators have automated workflows for years, but true decision autonomy has remained out of reach. Agentic AI changes the equation, enabling systems to think, plan, and act across complex operational scenarios. However, autonomous operations cannot scale without continuous validation of network behavior, customer impact, and service quality. This white paper explains why traditional assurance approaches and GenAI copilots alone are not sufficient. Operators need a new data assurance foundation that delivers trusted, real-time intelligence across the network to safely unlock AgenticOps.
What You Will Learn
- Why agentic AI requires trusted, real-time data to enable safe autonomy
- The limitations of traditional service assurance in AI-native networks
- How continuous validation improves confidence in automated decisions
- The role of end-to-end visibility in supporting autonomous operations
- Key considerations for telecom operators transitioning to AgenticOps
- How leading operators are preparing their networks for AI-driven automation
