Nokia and Microsoft launch unified AI platform for telecom automation

Nokia and Microsoft deliver production-ready network automation platform

Nokia and Microsoft have launched a jointly integrated data and AI platform designed to help telecommunications operators automate network operations across multi-vendor environments. The solution, announced September 17, 2026, combines Nokia Data Suite's prebuilt telecom data products with Microsoft Fabric's unified analytics and AI capabilities.

According to details first reported by Nokia, the platform reduces data preparation time from weeks to minutes—a critical improvement for operators seeking to deploy AI-driven automation at scale. The system supports multi-vendor, cross-domain, and hybrid deployments, including on-premises infrastructure required for regulatory compliance.

Technical architecture and deployment model

The integration leverages Nokia Data Suite's glass-box data quality controls and telecom-specific semantic modeling alongside Microsoft Fabric's OneLake storage, analytics tools, and AI applications including Microsoft 365 Copilot, Foundry, and Power BI. Nokia's data products can be provisioned on demand and combined with enterprise, IT, and third-party data sources.

Vivek Jaiswal, Senior Vice President of Autonomous Networks at Nokia, stated the collaboration brings "the right data, at the right time, for the right reason to telecom operators worldwide," helping networks evolve from static infrastructures into programmable, AI-native platforms.

Initial use cases target RAN optimization and service assurance

The platform is available now with three initial go-to-market applications:

Autonomous VoNR assurance detects and remedies voice-over-new-radio service issues through agents that identify anomalies, perform root cause analysis, and recommend actions with 360-degree observability across network, service, and subscriber dimensions.

Geo-experience uses AI and machine learning to map radio access network subscriber sessions to precise geographic locations, identify users experiencing degraded performance, and pinpoint coverage or capacity hotspots by correlating subscriber, network, and RF data.

Predictive maintenance and fault management analyzes historical and real-time data to anticipate network issues before customer impact.

AI-driven operational assistants function as copilots for network engineers throughout these workflows, providing contextual insights, recommended actions, and automated execution across complex environments while maintaining human oversight within defined governance boundaries.

Why it matters

Telecom operators face a persistent data integration challenge that delays AI deployment: preparing network data for analysis typically requires weeks of manual work across fragmented systems. By standardizing this process and reducing preparation time to minutes, Nokia and Microsoft address a fundamental barrier to autonomous network operations. The platform's support for on-premises deployment also resolves regulatory compliance concerns that have slowed cloud adoption in telecommunications, particularly in markets with strict data sovereignty requirements.

Silvia Candiani, Corporate Vice President of Worldwide Telco & Media at Microsoft, noted that telecom providers are ready to move AI "from experimentation into everyday network operations," but require trusted data, strong governance, and scalable platforms.

The collaboration extends Nokia and Microsoft's existing partnership in cloud, data, AI, and cybersecurity, with ongoing expansion of autonomous network use cases and customer deployments planned.

Details of the platform launch were first reported by Nokia in a September 17, 2026 press release.