Nokia announced an expanded collaboration with Google Cloud to enable customers to deploy Nokia?s Autonomous Network Fabric as a SaaS application running on Google Cloud, on-premises with Google Distributed Cloud, and in hybrid cloud environments. Over the past few years, operators have started to move toward fully autonomous networks. However, they are held back by legacy systems, siloed processes, and fragmented data.
With Nokia?s Autonomous Network Fabric, operators now have a fully integrated suite that features unified data management, 360-degree observability, and explainable AI. Nokia?s Autonomous Network Fabric enables automation at scale, reducing the complexity of automation while allowing operators to improve reliability and operational cost savings by quickly testing new ideas and integrating those that deliver desired benefits. Nokia?s Autonomous Networks Fabric will leverage Google Cloud?s generative AI, including Google Cloud?s Vertex AI and BigQuery, to deliver agentic-driven workflows for network operations.
This includes real-time monitoring and visibility into network traffic patterns, improving subscriber experience, anomaly detection, zero-touch remediation of performance issues, and support for elastic scale-out and disaster recovery to the cloud. Nokia and Google Cloud are making it easier for telecom companies to run Nokia's 5G core network on Google's cloud infrastructure. They are also joining forces with a major European operator to build a smarter, more automated network.
By combining Nokia's telecom data and automation capabilities with Google's AI tools, they aim to create an environment where developers can innovate and rapidly scale network automation. With Nokia?s Autonomous Network Fabric, customer will benefit from the following capabilities: Unified Data Management: All relevant network data is collected, curated, correlated, and published as data products leveraging a data mesh architecture. Data is virtually federated with the ability to design and construct new data products rapidly in a low-code/no-code environment.
Operators can use logic or AI/ML to create cutting-edge data assets that can be used and reused to power automation. 360-degree Observability: The Autonomous Network Fabric federates the use and distribution of data and AI across the organization, monitoring chain of custody from end to end. This ensures quality and consistency in automation.
Explainable AI: Powerful telco-trained LLMs support all automation through a rich knowledge engine that gives a clear reasoning for how data is interpreted, how issues are analyzed, and why certain actions are recommended.
