Nokia and Vodafone harness machine learning on Google Cloud to detect network anomalies

Nokia and Vodafone harness machine learning on Google Cloud to detect network anomalies

Press Release

Nokia and Vodafone harness machine learning on Google Cloud to detect network anomalies

Anomaly Detection Service, based on Nokia Bell Labs technology, is being rolled out across all Vodafone markets in Europe

20 July 2021

Espoo, Finland - Nokia and Vodafone today have launched a jointly developed machine learning (ML) product, running on Google Cloud, to quickly detect and remediate network anomalies before they impact Vodafone customers.

Based on Nokia Bell Labs technology and developed after a Nokia-Vodafone agreement signed in 2020, the Anomaly Detection Service product is being rolled out across Vodafone's pan-European network. The product quickly detects and troubleshoots irregularities, such as mobile site congestion and interference, and unexpected latency, that can impact customer service quality.

Following an initial deployment in Italy on more than 60,000 4G cells, Vodafone will extend the service to all its European markets by early 2022. Anomaly detection is offered as-a-service, an important dimension to Nokia's Cloud and Network Services' business group strategy, and there are plans to eventually apply Anomaly Detection Service to Vodafone's 5G and core networks.

Vodafone expects that around 80 percent of all its anomalous mobile network issues and capacity demands will be automatically detected and addressed using Anomaly Detection Service.

Deployment on Google Cloud allows Vodafone engineers to make fast and informed decisions, like boosting capacity where customers need it most, based on data managed through Google Cloud's secure and reliable data and analytics services. On Google Cloud, Anomaly Detection Service allows the streaming of network data to Vodafone's data analytics platform, enabling analysis simultaneously of data across multi-vendor environments.

The Nokia-Vodafone deal signed last year complements Vodafone's recent six-year agreement with Google Cloud, also a Nokia partner, to jointly build integrated cloud-based capabilities backed by hubs of networking and software engineering expertise.

Johan Wibergh, Chief Technology Officer, Vodafone, said: We are building an automated and programmable network that can respond quickly to our customers' needs. As we extend 5G across Europe, it is important to match the speed and responsiveness of this new technology with a great service. With machine learning, we can ensure a consistently high-quality performance that is as smart as the technology behind it.

Amol Phadke, Managing Director, Telecom Industry Solutions, Google Cloud, said:

We are thrilled to partner with Nokia and Vodafone to deliver a data- and AI-driven solution that scales quickly and leverages automation to increase cost efficiency and ensures seamless customer experiences across Europe. As behaviors change and the data needed for analysis increases in velocity, volume, and complexity, automation and a cloud-based data platform are now key in making fast and informed decisions.

Anil Rao, Research Director, Analysys Mason, said: Vodafones anomaly detection use case, developed in partnership with Nokia and run on Google Cloud, automates root-cause analysis for efficient network planning, optimization, and operations. This type of partnership provides a new opportunity for operators to rethink data management and increase the focus on use cases and application development.

Raghav Sahgal, President of Cloud and Network Services, Nokia, said: This first commercial deployment of Anomaly Detection Service with Vodafone on Google Cloud provides a great boost to customer service. It not only addresses the critical need to quickly detect and remedy anomalies impacting network performance using machine learning-based algorithms, but it also highlights Nokia's technology leadership and the deep technical expertise of Nokia Bell Labs.

Additional resources

Cloud support services website

Analysys Mason Vodafone case study

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