Nokia announced multiple upgrades to its autonomous networks portfolio at DTW in Copenhagen. The updates introduce new agentic AI capabilities to help telecommunication providers simplify operations, improve network performance, and respond to complex traffic demands. The enhancements include a new Autonomous Networks Agent Library, the latest version of the Autonomous Networks Suite, enhanced RAN automation, and new AI-driven frameworks for IP, fixed, and optical networks.
The Autonomous Networks Agent Library provides pre-built AI agents for security, assurance, and service operations. These agents support tasks such as identifying zero-day attacks, anomaly reasoning, event triage, root cause analysis, troubleshooting service order failures, and multi-agent coordination. They include observability, governance, and “glass box autonomy,” with reported productivity gains of 60 to 80% compared to traditional operations.
The Autonomous Networks Suite adds on-premise deployment options and new use cases for improved VoLTE service quality, enhanced observability, and optimized subscriber experience in radio access networks.
Nokia’s MantaRay SMO solution, aligned with Open RAN standards, now includes Non-Real-Time RIC functionality with AI-enabled rApps for managing radio networks, anomaly detection, and dynamic network slicing. Nokia is collaborating with operators including NTT DOCOMO on SMO-driven autonomy.
New agentic AI frameworks cover:
- IP networks: Nokia’s Network Services Platform (NSP) supports AI agents for troubleshooting, root-cause identification, alert reduction, and remediation in IP networks.
- Fixed networks: Capabilities in Altiplano, Corteca, and Broadband Easy platforms include first-contact helpdesk resolution rates above 50%, network incident qualification within five minutes, and a 50% reduction in return visits.
- Optical networks: The WaveSuite agentic framework enables proactive detection of KPI anomalies and photonic equipment failures, with integration to the NSP framework for cross-domain root-cause analysis.
Pallavi Mahajan, Chief Technology and AI Officer at Nokia, said: “As networks evolve from static infrastructure into programmable, AI-native platforms, there’s growing pressure to manage unpredictable traffic patterns driven by AI-intensive workloads. Our latest advancements are designed to help operators move toward higher levels of network autonomy.”
Chris Silberberg, Research Manager, Global Telecom Operations and Monetization, IDC, stated: “Autonomous networks are critical to the future of telecoms, and agentic AI is a key enabler for autonomous networks.”
Nokia is demonstrating these capabilities at DTW (Hall C3, Stand 306), including agentic AI, cross-domain assurance, orchestration, digital twins, AI Ops, and autonomous RAN operations.
