Nokia accelerates network automation through agentic, unified data foundation with Microsoft
Nokia and Microsoft are launching a jointly integrated data and AI platform to help telecom operators automate multi-vendor network operations and RAN optimization.
Rhea-AI Summary
Nokia (NOK) is extending its partnership with Microsoft to create an agentic, unified data foundation that speeds AI-driven network operations for telecom providers.
The solution integrates Nokia Data Suite’s prebuilt telco data products with Microsoft Fabric’s unified analytics, governance and AI tools such as Microsoft 365 Copilot, Foundry and Power BI. Operators can access high-quality, trusted data in minutes instead of weeks, supporting multi-vendor, cross-domain, hybrid and cloud environments, including on-premises deployments. Initial use cases include autonomous VoNR assurance, geo-experience for RAN optimization, and predictive maintenance and fault management, all supported by AI-driven operational assistants that act as copilots for network engineers.
Positive
- Unified Nokia–Microsoft solution available now for telecom operators, with ongoing expansion of autonomous network use cases
- Data access time cut from weeks to minutes by integrating Nokia Data Suite with Microsoft Fabric
- Supports multi-vendor, cross-domain and hybrid deployments, including on-premises, helping operators meet regulatory requirements
- Initial AI use cases include autonomous VoNR assurance, geo-experience for RAN optimization, and predictive maintenance
Negative
- None.
News Explained
The Nokia-Microsoft solution has moved from development to availability, with customer deployments and additional autonomous-network use cases still expanding; this creates an operational offering for telecom providers but discloses no ownership or financing change.
Details
Market Reaction – NOK
Following this news, NOK has gained 5.92%, reflecting a notable positive market reaction. Our momentum scanner has triggered 25 alerts so far, indicating elevated trading interest and price volatility. The stock is currently trading at $10.74. Trading volume is very high at 3.2x the average, suggesting strong buying interest.
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Key Figures
- Data access time
- minutes instead of weeks
- Operator access to trusted, unified data
Previous AI Reports
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Operators moved Nokia's AI-RAN platform toward lab and live field trials.
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Nokia launched hosted testing for 5G Core, automation, analytics and network exposure.
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Nokia opened a Riyadh center focused on AI-powered network automation software.
24h Move is the share-price change in the day after each event; other market factors may also have contributed.
Key Terms
ran technical
rf technical
AI-generated analysis. How Rhea-AI works. Not financial advice.
Nokia accelerates network automation through agentic, unified data foundation with Microsoft
- Multi-vendor, cross-domain solution integrates Nokia Data Suite with Microsoft Fabric.
- Faster access to trusted, unified data allows telecom providers to scale autonomous, AI-driven operations.
- Initial use cases focus on RAN optimization through autonomous VoNR assurance and geo-experience, which correlates subscriber, network and RF data.
- Collaboration enables intelligent, agent-based solutions across the network stack.
17 September 2026
Espoo, Finland — Nokia is extending its longstanding partnership with Microsoft to accelerate network automation, announcing the development of an agentic, unified data foundation that supports faster, more reliable AI-driven operations for telecommunication providers.
The collaboration combines Nokia Data Suite’s ready-to-use telco data products with Microsoft Fabric’s unified analytics, governance and AI capabilities, enabling intelligent, agent-based solutions across the network stack. Operators will be able to access high-quality, trusted data in minutes instead of weeks, simplifying complex data integration and significantly reducing time to insight.
“Nokia and Microsoft are bringing the right data, at the right time, for the right reason to telecom operators worldwide,” said Vivek Jaiswal, Senior Vice President, Autonomous Networks at Nokia. “Together, we are helping networks evolve from static infrastructures into programmable, AI-native platforms.”
From fragmented data to scalable autonomy
Nokia Data Suite provides prebuilt, reusable telco data products with glass-box data quality controls and telco-specific semantic modeling, ensuring transparency, explainability and trust in AI-driven decisions. Microsoft Fabric delivers a unified data platform with OneLake storage, analytics tools and AI-native apps such as Microsoft 365 Copilot, Foundry and Power BI.
By integrating these capabilities, operators can move from fragmented data environments to a more autonomous, scalable model. Nokia’s data products can be provisioned on demand and seamlessly combined with Microsoft Fabric’s enterprise, IT and third-party data sources, enabling broader AI use cases such as automated root-cause analysis and closed-loop operations to improve service quality and efficiency.
The solution is designed for multi-vendor, cross-domain telecom environments and supports hybrid and cloud infrastructures, including on-premises deployments. This flexibility allows operators to meet regulatory requirements while advancing AI and automation strategies globally. It also addresses a key barrier to AI adoption in telecom networks by reducing the time required to prepare and operationalize data — a process that can take several weeks when performed by traditional methods.
“Telecom providers are ready to move AI from experimentation into everyday network operations, but that requires trusted data, strong governance and platforms that can scale,” said Silvia Candiani, Corporate Vice President, Worldwide Telco & Media at Microsoft. “By bringing together Nokia Data Suite and Microsoft Fabric, we are creating a faster path to turn complex network data into actionable intelligence.”
Strengthening a partnership in cloud, data, AI and cybersecurity
This collaboration builds on Nokia and Microsoft’s existing partnership in cloud, data, AI and cybersecurity, supporting development and go-to-market activities for telecom customers. The solution is available now, with ongoing expansion of autonomous network use cases and customer deployments. Initial go-to-market examples include:
- Autonomous VoNR (voice over new radio) assurance to detect and remedy service issues, where agents identify anomalies, run root cause analyses, and recommend actions with 360-degree observability (network, service and subscriber).
- Geo-experience, which uses AI and machine learning to map RAN (radio access network) subscriber sessions to precise geographic locations, identify users experiencing degraded radio performance and pinpoint coverage or capacity hotspots. By correlating subscriber, network and RF data, this capability uses agents to analyze the root causes of RAN issues and provides actionable recommendations to improve the experience of both network-sliced and standard 4G/5G users.
- Predictive maintenance and fault management, where agents analyze historical and real-time data to anticipate network issues before they impact customers.
Throughout the process, AI-driven operational assistants act as copilots for network engineers, providing contextual insights, recommended actions and automated workflow execution across complex, cross-domain environments. As a result, operators can achieve higher levels of network autonomy while maintaining human oversight, enabling AI to take on increasingly complex operational responsibilities within clearly defined governance boundaries.
Multimedia, technical information and related news
Webpage: Nokia Data Suite
Webpage: Microsoft Fabric
Blog: The Glass Box Imperative
About Nokia
Nokia is the world's leading provider of network technology and enables a new era of artificial intelligence. We are developing the networks of the future that connect people, devices and intelligence. Our network solutions span fixed and mobile networks, as well as IP, optical, core, and data center networks. Our secure, AI-native network infrastructure enables the application and utilization of AI on a global scale.
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FAQ
AI-generated questions and answers. How Rhea-AI works. Not financial advice.
What specific initial use cases are enabled by the Nokia and Microsoft data foundation?
Initial go-to-market examples include autonomous VoNR (voice over new radio) assurance to detect and remedy service issues, geo-experience that maps RAN subscriber sessions to precise locations to identify degraded radio performance and coverage or capacity hotspots, and predictive maintenance and fault management, where agents analyze historical and real-time data to anticipate network issues before they impact customers.
How does the solution support different telecom network environments and deployments?
The solution is designed for multi-vendor, cross-domain telecom environments and supports hybrid and cloud infrastructures, including on-premises deployments. This flexibility allows operators to advance AI and automation strategies while meeting regulatory requirements and integrating with enterprise, IT and third-party data sources.
What role do AI-driven operational assistants play in Nokia’s and Microsoft’s joint offering?
AI-driven operational assistants act as copilots for network engineers, providing contextual insights, recommended actions and automated workflow execution across complex, cross-domain environments. They support higher levels of network autonomy while maintaining human oversight and operating within clearly defined governance boundaries.
How does the collaboration build on the existing Nokia–Microsoft relationship?
This initiative extends Nokia and Microsoft’s existing partnership in cloud, data, AI and cybersecurity, and supports joint development and go-to-market activities for telecom customers, with autonomous network use cases and customer deployments continuing to expand.