Nokia, Databricks Demonstrate Unified Data Platform for Autonomous Networks

Espoo, Finland – Nokia and Databricks announced the successful completion of a joint proof of concept (PoC) demonstrating a unified, substrate-agnostic data platform for autonomous networks.

The collaboration aims to help telecommunication providers simplify fragmented data environments and deploy real-time analytics at scale. This enables faster decision-making, improved network performance, and more efficient operations.

The PoC addresses a long-standing industry challenge where telecom networks typically rely on hundreds of siloed systems, each with its own data architecture. This makes consistent AI application across different network domains difficult. The goal is to create a common data platform that runs seamlessly across various cloud environments or on-premise infrastructure without platform-specific code rewrites.

The demonstration confirmed Nokia's and Databricks' ability to develop a joint architecture that efficiently handles massive data volumes and real-time ingestion. This data feeds AI agents for automated, cross-domain decision-making.

"Teaming up with Databricks is a significant step towards building the data foundations required for next-generation autonomous networks," said Oguz Sunay, CTO AI and Autonomous Networks at Nokia. "By enabling a common, flexible data platform, we can help operators accelerate AI adoption and create more efficient and sustainable networks."