Nokia and Turkcell Deploy AI to Monitor 15 Million Devices in Near Real-Time
Nokia has announced the completion of a project with the operator Turkcell aimed at transforming the management of the broadband fixed network in Türkiye. Launched at the beginning of 2025, this initiative deploys an AI-powered network analytics solution to enhance service quality for over 3 million customers.
Project Completion with Turkcell
Nokia has completed its project with Turkcell (NYSE: TKC) (BIST: TCELL), the leading technology and mobile operator in Türkiye. The project is based on the deployment of a large-scale network analytics system capable of processing service quality data collected hourly from an estimated 15 million smart and connected devices. This infrastructure provides complete visibility of Turkcell's broadband fixed network from network access to subscribers' home networks, enabling the detection of potential issues before they impact customers.
Native Cloud Architecture for Scalability
Nokia's fixed network analytics solution is based on a native cloud architecture designed to ensure scalability, resilience, and readiness for future developments. Thanks to AI-driven automation, the system brings performance monitoring and user experience surveillance to near real-time levels, reducing the risk of outages and failures. This approach speeds up and enhances the accuracy of interventions, boosting customer satisfaction by avoiding unnecessary technical support calls.
Elevating Data-Driven Management
The project elevates Turkcell's data-driven and proactive approach in the fixed network to a higher level, setting a compelling example in the market. According to Prof. Dr. V. Ça?r? Güngör, Chief Technology Officer at Turkcell, this partnership is part of a strategy to strengthen preventive maintenance protocols of the fixed network, ensuring stable and higher quality connectivity for customers. John Harrington, Executive Vice-President & Head of Europe at Nokia, highlights that Nokia's analytics and AI capabilities provide operational teams with a more comprehensive view of network behavior, enabling earlier problem identification and structured automation of operations.