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Nokia, Databricks demonstrate unified data platform for autonomous networks

Press ReleaseNokia, Databricks demonstrate unified data platform for autonomous networks Proof of concept validates cloud-agnostic approach for network operators to scale AI-driven operations, deploy real-time analytics without rewriting code. 24 June 2026 Espoo, Finland – Nokia and Databricks today announced the successful completion of a joint proof of concept (PoC) demonstrating a unified, substrate-agnostic data platform designed to support AI-driven autonomous networks. The collaboration sh

Nokia OyjJune 24, 20264
Nokia, Databricks demonstrate unified data platform for autonomous networks

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Press Release Nokia, Databricks demonstrate unified data platform for autonomous networks 24 June 2026  Espoo, Finland – Nokia and Databricks today announced the successful completion of a joint proof of concept (PoC) demonstrating a unified, substrate-agnostic data platform designed to support AI-driven autonomous networks. The collaboration shows how telecommunication providers can simplify fragmented data environments and deploy real-time analytics at scale, enabling faster decision-making, improved network performance, and more efficient operations. The PoC addresses a long-standing industry challenge: Telecom networks typically rely on hundreds of siloed operational and business support systems, each with its own data architecture, making it difficult to apply AI consistently across domains. To truly harness AI and multi-agent systems, operators need a common data platform that can run seamlessly across different cloud environments or on-premise infrastructure, without the need to rewrite code. The POC confirmed Databricks and Nokia’s ability to develop a joint architecture that efficiently handles the massive scale and real-time ingestion speeds required to feed network data to AI agents for automated, cross-domain decision-making. “Teaming up with Databricks represents a big step as we work toward building the types of data foundations required for next-generation autonomous networks. By enabling a common, flexible data platform across cloud environments, we can help operators accelerate the adoption of AI and create more efficient, resilient and sustainable networks,” said Oguz Sunay, CTO AI and Autonomous Networks, Nokia. “Telecom operators are managing increasingly complex networks and need a more consistent way to harness their data. Our collaboration with Nokia demonstrates how a unified data platform can help simplify operations and unlock the value of AI across network domains,” said Nevash Pillay, Global Head of Telecommunications Industry, Databricks. About the POC Engineering teams from Nokia and Databricks focused on a real-time performance management use case, simulating analytics ingestion with an intent to scale quickly to match tier-1 operator scale in the cloud. Their work delivered several key technical breakthroughs designed to simplify how telecom operators build and run data-driven services across different environments: Moving ahead Nokia and Databricks plan to continue their collaboration around enhancing autonomous network capabilities, helping operators transition to a future where AI applications increasingly access, correlate, and act on large-scale network data in real time. Multimedia, technical information and related news Web Page: Autonomous Networks | Nokia About Nokia  Nokia is a global leader in connectivity for the AI era. With expertise across fixed, mobile, and transport networks, we’re advancing connectivity to secure a brighter world. About Databricks Databricks is the Data and AI company. More than 20,000 organizations worldwide — including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 — rely on Databricks to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified platform that includes Lakebase, Genie, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog. To learn more, follow Databricks on  LinkedIn ,  X ,  YouTube , and  Instagram . Media Inquiries  Nokia Press Office  Email: [email protected] Follow us on social media  LinkedIn X Instagram Facebook YouTube

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