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Nokia Expands Agentic AI Portfolio for Autonomous Network Operations

Nokia Expands Agentic AI Portfolio for Autonomous Network Operations

"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."

Nokia announced a series of upgrades to its autonomous networks portfolio on June 23 at DTW in Copenhagen, introducing agentic AI capabilities designed to help telecommunications providers manage network operations and respond to increasingly complex traffic demands.

The announcement covers four areas: a new Autonomous Networks Agent Library, an updated Autonomous Networks Suite, enhanced radio access network automation through MantaRay SMO, and new AI-driven frameworks spanning IP, fixed, and optical networks.

"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," said Pallavi Mahajan, Chief Technology and AI Officer at Nokia. "Our latest advancements are designed to help operators move toward higher levels of network autonomy, resulting in faster decision-making, automated operations, and more efficient use of network resources."

The Agent Library and Productivity Claims

The Agent Library delivers pre-built AI agents built for high-value operational problems across security, assurance, and service operations, including identifying zero-day attacks, event triage for root cause analysis, and troubleshooting service order failures, according to the press release.

Nokia said the agents include built-in observability and governance, described as glass box autonomy, and reported productivity gains typically ranging from 60% to 80% compared to traditional operations.

Chris Silberberg, Research Manager for Global Telecom Operations and Monetization at IDC, said agentic AI is a key enabler for autonomous networks and that Nokia's approach is already achieving quantifiable business value for operators navigating agent integration across network and IT domains.

Network-Specific Upgrades

The Autonomous Networks Suite adds on-premise deployment options along with use cases targeting improved VoLTE service quality and enhanced radio access network subscriber experience, according to the press release. 

MantaRay SMO now includes Non-Real-Time RIC functionality with AI-enabled rApps for anomaly detection and dynamic network slicing, with Nokia working alongside NTT DOCOMO on SMO-driven autonomy trials through MantaRay SON and AutoPilot.

For fixed networks, new agentic AI capabilities across Nokia's Altiplano, Corteca, and Broadband Easy platforms are targeting first-contact helpdesk resolution rates above 50%, network incident qualification within five minutes, and a 50% reduction in return visits to construction sites and connected homes.

In optical networks, the new WaveSuite framework provides proactive detection of KPI anomalies and equipment failures before they affect service performance, working alongside Nokia's IP-focused NSP platform for cross-domain root cause analysis.

Nokia said the upgrades are designed for deployment across global markets, supporting operators as they transition toward networks capable of operating at machine speed.

Key Takeaways

  • Nokia upgrades its autonomous networks portfolio with new agentic AI capabilities for enhanced network management.
  • Introduces an Autonomous Networks Agent Library to address high-value operational challenges in telecommunications.
  • Implements AI-driven frameworks for improved traffic management across IP, fixed, and optical networks.
  • Promotes significant productivity gains of 60-80% through built-in observability and governance in AI agents.
  • Aims for higher network autonomy, resulting in faster decision-making and more efficient resource use.