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    Nokia Expands Agentic AI Portfolio for Autonomous Network Operations

    ManufacturingNews

    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."

    Last updated

    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.

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    About the author

    Sachin Mohan

    Sachin is a Senior Writer at AIM Media House. He is a tech enthusiast and holds a very keen interest in emerging technologies and how they fare in the current market. He can be reached at sachin.mohan@aimmediahouse.com

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