Nokia tests Databricks autonomous data fabric

Nokia and Databricks completed a proof of concept for a unified, cloud-agnostic data platform to support AI-driven autonomous networks. The test validated cross-platform data pipelines, vendor-neutral data logic, automated deployment and AI-assisted data product creation across Databricks and an open-source stack. The signal is that portable data infrastructure is becoming a prerequisite for telecom AI autonomy.

• The PoC validated real-time performance management across cloud and open-source stacks

• Data portability is becoming a prerequisite for telecom AI autonomy

The fact

Nokia and Databricks have completed a proof of concept for a unified, cloud-agnostic data platform to support AI-driven autonomous networks. The test targeted real-time performance management and showed that data pipelines can be deployed interchangeably on Databricks or on an open-source stack built around Apache Flink, Kafka and Iceberg. The PoC also validated vendor-neutral data logic, automated deployment and AI-assisted data product creation via natural language prompts.

The Assessment

The real significance of the PoC is not a new AI feature but a portable data fabric that frees operators from platform lock-in. For the infrastructure layer, that shifts the question from which AI stack to adopt to whether the underlying data plumbing can be designed for portability from the start. Fragmented OSS/BSS data has long stalled progress toward Level 4 autonomy, a conditional autonomous networks classification proposed by the industry; a vendor-neutral pipeline lets teams reuse workflows across cloud and on-premise environments. Nokia is positioning itself at the data infrastructure tier that makes Level 4 autonomy viable.

What to Watch

Watch whether Nokia turns the PoC into operator trials, ties it more closely to the Agent Library and the expanded AWS collaboration announced the same week, and moves beyond performance management into fault and configuration operations.