Nokia, Microsoft Target AI Automation Boost for Operators
Nokia + Microsoft want to collapse telecom data latency from weeks to minutes via agentic AI infrastructure.
- 01Telcos spending months wrestling fragmented data environments may have an exit ramp.
- 02Nokia and Microsoft are combining telco-specific semantic modelling with a unified analytics and AI platform, targeting autonomous, multi-vendor network operations.
- 03The pitch: shrink time-to-insight dramatically while satisfying regulatory constraints across hybrid and cloud deployments.
- 04Operators get hooks into Copilot, Foundry, and Power BI out of the box.
Nokia + Microsoft want to collapse telecom data latency from weeks to minutes via agentic AI infrastructure.
Telcos spending months wrestling fragmented data environments may have an exit ramp. Nokia and Microsoft are combining telco-specific semantic modelling with a unified analytics and AI platform, targeting autonomous, multi-vendor network operations. The pitch: shrink time-to-insight dramatically while satisfying regulatory constraints across hybrid and cloud deployments. Operators get hooks into Copilot, Foundry, and Power BI out of the box. The real test is whether the joint stack survives contact with legacy OSS/BSS sprawl. **Watch:** Early operator pilots—proof of the "minutes not weeks" claim will determine enterprise uptake velocity.
Watch: Whether flagship operator deployments validate the latency-reduction claims before rivals field comparable agentic data stacks.
Nokia partnered with Microsoft to develop an agentic, unified data foundation supporting what the pair claimed will be faster, more reliable AI-driven operations for telecoms providers. The offering will combine Nokia Data Suite’s telco products with Microsoft Fabric’s unified analytics, governance and AI capabilities, enabling “intelligent, agent-based solutions across the network stack”. According to the companies, 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.
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Nokia partnered with Microsoft to develop an agentic, unified data foundation supporting what the pair claimed will be faster, more reliable AI-driven operations for telecoms providers. The offering will combine Nokia Data Suite’s telco products with Microsoft Fabric’s unified analytics, governance and AI capabilities, enabling “intelligent, agent-based solutions across the network stack”. According to the companies, 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 explained its telco products offer industry-specific semantic modelling, ensuring transparency, explainability and trust in AI-driven decisions. Meanwhile, Microsoft Fabric delivers a unified data platform with its OneLake storage analytics tools and AI native apps such as Microsoft 365 Copilot, Foundry and Power BI. By combining respective capabilities, operators “can move from fragmented data environments to a more autonomous scalable model”. It is designed for multi-vendor, cross-domain telecoms environments, and supports hybrid and cloud infrastructures including on-premise deployments. Ramping up their pitch, Microsoft and Nokia said the flexible nature of the offering allows operators to meet regulatory requirements while advancing AI strategies globally. Silvia Candiani, corporate VP, Worldwide Telco and Media at Microsoft, said operators are ready to move AI from experimentation into everyday network operations and the partnership creates “a faster path to turn complex network data into actionable intelligence”. Vivek Jaiswal, SVP, Autonomous Networks at Nokia added the companies “are bringing the right data, at the right time, for the right reason to telecom operators worldwide”. The post Nokia, Microsoft target AI automation boost for operators appeared first on Mobile World Live .
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