In addition, Nokia announces 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.
In recent years, operators have begun moving 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 offers unified data management, 360-degree observability, and explainable AI. Nokia's Autonomous Network Fabric enables large-scale automation, reducing automation complexity and allowing operators to improve reliability and save operating costs by rapidly testing new ideas and integrating those that deliver the desired benefits.
"As networks become more autonomous, they will need different forms of AI, from classic algorithms to language-based systems and intelligent agents, each bringing distinct capabilities to operators." “Nokia’s new tools can help operators manage their infrastructure, services, and cyber risks by applying AI trained on industry-specific data and enriched with real-time situational information ,” says Andy Hicks, senior principal analyst at GlobalData.
Nokia’s Autonomous Networks Fabric will leverage Google Cloud’s generative AI, including Google Cloud’s Vertex AI and BigQuery, to deliver agent-driven workflows for network operations. This includes real-time monitoring and visibility into network traffic patterns, improved subscriber experience, anomaly detection, zero-touch remediation of performance issues, and support for elastic scalability and cloud disaster recovery.
Nokia and Google Cloud are enabling 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.
“In an era of increasingly complex and vulnerable networks, customers are eager for fully autonomous networks that rely on high-quality data. There is no good AI without good data. Nokia’s autonomous network fabric lays the foundation and leverages our deep networking expertise and AI-optimized workflows with Google Cloud to accelerate customer outcomes,” said Kal De, senior vice president of Product and Engineering, Cloud Services and Networks at Nokia.
“This is another step in our deep collaboration with Nokia to strengthen network reliability, proactively detect and resolve network issues, and turn data into value for predictable, high-performance networks. Nokia’s autonomous network fabric leverages Nokia’s deep telecom industry knowledge, combined with Google Cloud’s AI tools, to provide operators with a comprehensive approach to accelerating network automation ,” said Muninder Singh Sambi, vice president and general manager of networking and security at Google Cloud.
With Nokia's Autonomous Network Fabric, customers 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, enabling the rapid design and construction of new data products in a low- or no-code environment. Operators can use logic or AI/ML to create cutting-edge data assets that can be used and reused to drive automation.
360-degree observability: Autonomous Network Fabric federates the use and distribution of data and AI across the entire organization, monitoring the end-to-end chain of custody. This ensures quality and consistency in automation.
Explainable AI: Powerful LLMs trained for telecom support all automation through a rich knowledge engine that provides clear reasoning about how data is interpreted, how problems are analyzed, and why certain actions are recommended.
