Nokia and Databricks complete test for AI platform powering next-generation autonomous networks

Nokia, Databricks complete autonomous network data platform test By Investing.com

ESPOO, Finland - Nokia and Databricks announced today the completion of a proof of concept demonstrating a unified data platform designed to support AI-driven autonomous networks for telecommunications operators. The proof of concept addresses challenges telecom networks face with hundreds of siloed operational and business support systems, each with separate data architectures. Nokia, a prominent player in the Communications Equipment industry according to InvestingPro, generated $23.1 billion in revenue over the last twelve months with a gross profit margin of 45%. The company maintains a FAIR financial health rating and currently trades below InvestingPro's Fair Value estimate, appearing on the platform's Most Undervalued stocks list. The project validated a cloud-agnostic approach allowing network operators to deploy real-time analytics without rewriting code across different environments. Engineering teams from both companies focused on a real-time performance management use case, simulating analytics ingestion at tier-1 operator scale in the cloud, according to a press release statement. The technical work delivered several outcomes. Data pipelines were created once and deployed across different platforms without modification. The same workflows ran on both Databricks and an open-source stack based on Apache Flink, Kafka, and Iceberg, supporting real-time streaming, batch processing, and query-time data products. Nokia engineers developed transformation logic using platform-independent Python expressions. The teams validated a custom compiler that automatically adapted workflows at deployment, translating abstract logic into native formats such as Delta Live Tables for Databricks or Flink SQL for open-source systems. The project demonstrated AI-powered creation of new data products using natural language prompts, where an intelligent data fabric agent can generate new data products, request validation, and deploy pipelines automatically. "Teaming up with Databricks represents a big step as we work toward building the types of data foundations required for next-generation autonomous networks," said Oguz Sunay, CTO AI and Autonomous Networks at Nokia. "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 at Databricks.The partnership comes as Nokia shows revenue growth of 4.3% and analysts expect net income to grow this year. InvestingPro subscribers have access to 10 additional exclusive tips about Nokia's financial outlook, along with comprehensive metrics and Fair Value analysis. Nokia and Databricks plan to continue collaboration on enhancing autonomous network capabilities. In other recent news, Nokia has announced several strategic developments aimed at enhancing its capabilities and market presence. Nokia revealed an expansion of its advanced test and packaging operations in Allentown, Pennsylvania, which is expected to nearly double the local workforce and generate an economic impact exceeding $500 million over the next five years. This move is part of Nokia's efforts to boost domestic production capacity for optical networking technologies used in AI infrastructure. Additionally, Nokia Defense has partnered with KNDS to provide 5G connectivity for soldiers and unmanned vehicles, integrating Nokia's Banshee Deployable Solution into KNDS's VBCI Armored Infantry Fighting Vehicle. In collaboration with Lockheed Martin, Nokia launched a modular 5G solution for U.S. and allied defense forces, incorporating carrier-grade 5G technology within the Department of War's open architecture framework. Furthermore, Nokia is set to participate in a meeting with European Commission President Ursula von der Leyen and other technology and semiconductor firms to discuss competitiveness concerns within the European Union. These recent developments highlight Nokia's ongoing efforts to expand its technological footprint and adapt to evolving market demands. This article was generated with the support of AI and reviewed by an editor. For more information see our T&C.

Nokia, Databricks Demonstrate Unified Data Platform for Autonomous Networks

Nokia and Databricks 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.

Nokia and Databricks showcase AI platform for autonomous networks

Telecoms company Nokia and data and AI company Databricks have completed a joint pilot project demonstrating a unified data platform for AI-driven autonomous networks. The solution is intended to enable telecom operators to use real-time analytics and AI across different cloud environments without having to rewrite code, according to a press release. According to the companies, the project showed that the same data flows can run across multiple platforms, and that AI agents can create and deploy new data services with limited manual intervention. 'The collaboration with Databricks is an important step in our work to build the data foundations required for next-generation autonomous networks. By enabling a shared and flexible data platform across different cloud environments, we can help operators accelerate the adoption of AI and create more efficient, resilient and sustainable networks,' said Oguz Sunay, CTO for AI and autonomous networks at Nokia. The collaboration will continue, with a focus on developing capabilities for autonomous networks where AI applications can analyze and act on large volumes of data in real time.