Nokia and Microsoft integrate agentic AI for telecom network automation

Nokia and Microsoft announced an expansion of their partnership on September 17, integrating Nokia Data Suite with Microsoft Fabric to create a unified data foundation for autonomous telecom network operations, which the companies say cuts data preparation time from weeks to minutes. Initial use cases target radio access network optimization, including autonomous Voice over New Radio (VoNR) assurance and geo-experience analytics. Nokia's stock rose approximately 4% on the Helsinki exchange following the announcement, with shares up roughly 66% year-to-date.

Photo: Tara Winstead / Pexels Nokia and Microsoft integrate agentic AI for telecom network automation The expanded partnership merges Nokia Data Suite with Microsoft Fabric, cutting telecom data preparation from weeks to minutes. Nokia and Microsoft https://cryptobriefing.com/markets/microsoft/ just made telecom network management look a lot less like babysitting and a lot more like autopilot. The two companies announced a major expansion of their existing partnership on September 17, building a unified data foundation that integrates Nokia Data Suite with Microsoft Fabric to power autonomous network operations. The core promise: reducing data preparation time from weeks to minutes. What the integration actually does Nokia Data Suite handles the telecom-specific data ingestion and structuring. Microsoft Fabric provides the cloud-scale analytics and AI platform. Combining them creates what the companies are calling a unified data foundation, essentially a single environment where operators can query, analyze, and automate decisions across their entire network without spending weeks wrangling spreadsheets first. The initial use cases are focused on radio access network optimization, the part of a cellular network that connects your phone to the nearest tower. Two specific applications stand out: autonomous Voice over New Radio VoNR assurance and geo-experience analytics. VoNR is the 5G equivalent of voice calling, and autonomous assurance means the system can detect and resolve quality issues without a human engineer intervening. Geo-experience analytics merge subscriber data, network performance data, and radio frequency data to give operators a geographic map of where their network is thriving and where it’s struggling. AI, tech, and the markets they move—in one daily briefing. Daily. Free. Join 34,000+ readers across crypto, finance, and policy. Why telecom operators care deeply about this Nokia’s Vivek Jaiswal emphasized the importance of data timing, pointing to the reality that insights arriving weeks late are functionally useless for real-time network management. Microsoft’s Silvia Candiani highlighted the value of actionable insights, the idea that data needs to arrive not just fast but in a format that enables immediate decision-making. The partnership is also designed to preserve operator control and governance in multi-vendor environments. By building on open, interoperable foundations, Nokia and Microsoft are positioning this as an enablement layer rather than a lock-in play. This builds on previous collaboration between the two companies across cloud infrastructure, AI applications, and cybersecurity. Market reaction and strategic context Nokia’s stock rose approximately 4% on the Helsinki exchange following the announcement, adding to what has been a remarkable year for the Finnish company. Nokia shares have gained roughly 66% year-to-date. Disclosure: This article was edited by Editorial Team. For more information on how we create and review content, see our Editorial Policy https://cryptobriefing.com/editorial-policy/ .