Google Cloud makes network transformation easy for communications service providers

Google Cloud has taken advantage of the Mobile World Congress (MWC) to announce three new products developed specifically for communications operators. Specifically, so that they have more facilities both to transform their network and to monetize it. With them, CSPs will have a unified cloud solution to develop, deploy and manage their cloud-native hybrid networks, as well as to collect and manage network data and improve customer experiences through Artificial Intelligence and analytical.

In addition, Google Cloud will offer communications service providers the ability to deploy true cloud native networks in a hybrid cloud environment. With an upgrade to Google Distributed Cloud Edge (GDC Edge), they will be able to bring Google Cloud infrastructure to the edge of their radio access networks (RANs), in addition to their 5G core networks. Additionally, enterprises will be able to run their network functions in any Google Cloud region on Google Kubernetes Engine, thanks to Network Function Optimizer for GKE.

As for the first of the new products announced by the company, it is Telecom Network Automation. Its purpose is to speed up network and perimeter deployments. It does this by leveraging cloud-native automation based on Kubernetes. For its development, Google Cloud have collaborated with Nephio, an open source project that is not alien to the company at all, since it was she, together with the Linux Foundation, who launched it in 2022.

Telecom Network Automation is the managed cloud version of Nephio, which helps improve time-to-market for solutions as well as multi-vendor interoperability. It reduces configurations prone to errors, and has lower operational costs. It is already available in test phase.

As for the second of these new products is Telecom Data Fabric, which helps CSPs get insights from their data and which is also still in testing. It is characterized by offering a completely automated data collection experience, instead of using a manual system as in other cases.

For better reusability, data is exposed through unified data models, leveraging both BigQuery and the DataPlex data mesh architecture. In this way, communications service providers will be able to both achieve a faster transition to the cloud and speed up the data path.

Lastly, the AI-powered Telecom Subscriber Insights tool, already in private testing, helps telecom service providers pull insights from multiple proprietary data sources to recommend actions. It receives and analyzes data with Artificial Intelligence models to offer recommended actions, and helps CSPs to interact with their subscribers through various channels. The result is that communications service providers can better understand the behavior of their subscribers, up-sell and cross-sell, manage customer churn rates, and win new customers more effectively.

Thomas Kurian, CEO of Google Cloudhas highlighted that «To succeed in a connected world, communications service providers are under enormous pressure to develop and manage next-generation networks, with increasing capital and operational expenses. By applying cloud-native principles to network architectures, and accelerating subscriber growth through a holistic data source management, CSPs have an opportunity to bridge the gap between today’s and tomorrow’s connectivity. (Alprazolam) «.

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