Nokia and Microsoft expand partnership to advance AI-driven network automation


Nokia and Microsoft have expanded their collaboration to accelerate network automation through an agentic, unified data foundation for artificial intelligence (AI)-driven telecom operations. The initiative is aimed at helping telecom operators deploy AI capabilities faster while improving the reliability and accessibility of network data.

The partnership integrates Nokia Data Suite’s telco data products with Microsoft Fabric’s unified analytics, governance and AI capabilities. The combined platform is designed to provide agent-based solutions across the network stack, enabling operators to access high-quality data, simplify complex data integration and reduce the time required to generate operational insights.

Nokia’s data products use data quality controls and telco-specific semantic modelling to provide greater transparency around AI-driven decisions. Microsoft Fabric adds OneLake storage, analytics capabilities and AI applications such as Microsoft 365 Copilot, Foundry and Power BI. Together, the platforms support use cases including automated root-cause analysis and closed-loop network operations.

The solution is designed for multi-vendor and cross-domain telecom environments and supports hybrid, cloud and on-premises infrastructure. This allows operators to address regulatory requirements while advancing network automation and AI strategies. It also aims to reduce the time required to prepare and operationalise network data, a process that can traditionally take several weeks.

Initial applications include autonomous voice over new radio (VoNR) assurance to identify and resolve service issues, geo-experience mapping to detect degraded radio performance and coverage hotspots, and predictive maintenance to identify potential network problems before they affect customers.

The collaboration will also enable AI-based operational assistants to act as copilots for network engineers, providing contextual network insights and supporting automated workflow execution.



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