Fueling the autonomous network: Google Cloud and DigitalRoute simplify data readiness for AI

To achieve Level 4 and Level 5 autonomous network operations (ANO), the telecommunications sector is increasingly turning to AI to build self-healing, self-optimizing networks capable of predictive maintenance. However there is a significant roadblock: AI is only as good as the data fueling it. While the industry fixates on AI agents, large language models (LLMs), and AIOps, the underlying data remains messy and fragmented. You can’t build a valid AI model on broken data. Today, we’re announcing a new collaboration with data usage and monetization platform provider DigitalRoute to solve one of the industry’s biggest hurdles: data readiness. We’re launching reusable data pipelines that transform raw, chaotic network noise into high-quality, “AI-ready” data, enabling the next generation of autonomous agents. Moving from "data swamps" to digital twins Before an AI agent can resolve a network anomaly, it must first understand the environment. In a modern telecom network, this is a massive