Nokia announced its Autonomous Networks Fabric, the industry?s first suite of telco-trained AI models, integrated security, and AI apps to accelerate network automation and enable operators to easily roll out new services. Autonomous Network Fabric is a unifying intelligence layer that weaves together observability, analytics, security, and automation across every network domain; allowing a network to behave as one adaptive system, regardless of vendor, architecture, or deployment model. 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. 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.
