en.Wedoany.com Reported - Nokia and Amazon Web Services (AWS) are expanding their collaboration to bring Nokia's autonomous network architecture to the AWS platform, aiming to make it easier for telecommunications service providers to run a complete operations stack in the cloud. The new solution is expected to launch by the end of this year.
Autonomous networks are evolving from a laboratory vision into a key priority for telecom operators. This enhanced partnership between Nokia and AWS not only involves migrating network functions to the cloud but also aims to redesign how operators observe, govern, and monetize complex infrastructure. The project builds on an existing roadmap, with some of Nokia's digital applications already running on the platform, covering orchestration, assurance, and unified inventory. The next step will integrate more advanced capabilities, bringing operators closer to Level 4 autonomy.
The core issue is shifting from fragmented management tools to a programmable platform. Currently, mobile, fixed, and transport networks are still managed in silos, with each domain having dedicated systems, processes, and expertise—a model that is increasingly difficult to sustain. Traffic patterns change rapidly, services become more dynamic, and enterprises demand guaranteed performance, security, and shorter activation times. In this context, autonomous networks can reduce manual operations and accelerate operational decisions.
AWS brings elastic scaling, global availability, and AI and machine learning services—including Amazon Bedrock and Amazon SageMaker—to this project. Nokia contributes AI models trained in the telecom domain, network expertise, and operational software. This combination aims to elevate operational speed closer to machine speed, not by eliminating human control, but by shifting it toward governance, policy, oversight, and anomaly management.
Nokia notes that the autonomous network architecture provides four core capabilities: cross-domain unified data management, applying Agentic AI to operations and optimization, simulating the impact of actual network operations based on digital twins, and intent-based networking. In intent-based networking, business objectives are translated into automated actions on the network. Operators can define desired outcomes, and the platform interprets the context, evaluates resources, and initiates corrective or optimization procedures.
Oguz Sunay, Chief Technology Officer for AI and Autonomous Networks at Nokia, stated that autonomous networks have transitioned from a distant vision to a business imperative, and the convergence of intent-based networking, Agentic AI, and cloud-native architecture is becoming a competitive lever. Amir Rao, Global Director of Telecom Solutions at AWS, linked the transition to autonomous operations with three dimensions: speed of problem detection, speed of problem resolution, and speed of service monetization.
Nokia cites measurable results from its product portfolio, including automation rates exceeding 90%, service delivery times of no more than 4 hours, and annual service downtime of less than one minute. Additionally, slice deployment time is reduced by up to 85%, and customer-impacting incidents are reduced by up to 50%.
This announcement does not come out of nowhere. Nokia and AWS have previously collaborated on other aspects of network cloud transformation. At MWC in March, the two companies, along with du and Orange, demonstrated Agentic AI-based network slicing. In February, they announced the launch of the first commercial mobile service based on 5G core network SaaS on the Citymesh network in Belgium. These steps indicate that cloud computing is not only used as execution infrastructure but is also becoming a platform for integrating AI, automation, and cloud-native telecom functions.
The agreement between Nokia and AWS confirms a broader trend: the boundaries between network vendors and hyperscale cloud providers are shifting. Telecom vendors bring vertical expertise, domain software, and operator relationships, while cloud providers offer global infrastructure, AI services, and rapid innovation capabilities. In this game, autonomous networks become a strategic battleground, where the ability to control operational data, AI models, and automation cycles will shape the future of telecom operations.
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