Telecommunications company Nokia and cloud computing giant Amazon Web Services (AWS) have launched a pilot project aimed at using artificial intelligence to automate real-time 5G network slicing. The initiative seeks to demonstrate how AI-driven systems can dynamically manage network resources, allowing telecom operators to optimise capacity and deliver specialised digital services across next-generation mobile infrastructure.
Testing AI-driven network management
The joint pilot integrates Nokia’s telecommunications infrastructure technology with AWS cloud computing and machine-learning capabilities. The objective is to create an automated framework capable of adjusting network performance in real time according to changing demand and service requirements.
Network slicing is one of the core features of 5G architecture. It enables telecom operators to divide a single physical network into multiple virtual segments, each configured for a specific type of application or service. For example, one slice may prioritise ultra-low latency required for autonomous vehicles or industrial robotics, while another may focus on high-bandwidth services such as video streaming, mobile gaming or enterprise data services.
Traditionally, configuring and managing these slices has required significant manual oversight and static configuration. The new pilot aims to replace much of that manual process with artificial intelligence capable of analysing traffic patterns, predicting demand and automatically allocating network capacity.
Efficiency gains for telecom operators
For telecom companies, the automation of network slicing could significantly improve operational efficiency. As 5G networks expand and support an increasing number of connected devices, managing traffic across different services becomes increasingly complex.
AI-driven orchestration could allow networks to adapt automatically to congestion, shifting traffic and resources across slices without manual intervention. This may improve service reliability while also reducing operational costs for network operators.
The approach could also accelerate the rollout of new digital services. Telecom providers are increasingly exploring specialised network slices for sectors such as healthcare, manufacturing, smart cities and connected transportation. Automating slice management could make it easier for operators to deploy and scale these services rapidly.
Cloud and telecom convergence accelerating
The collaboration also reflects a broader shift in the telecommunications industry toward cloud-native network architecture. Telecom infrastructure is increasingly being integrated with large-scale cloud platforms to improve flexibility, scalability and data analysis capabilities.
Cloud providers offer the computing power and artificial intelligence tools required to process massive volumes of network data in real time. Combined with telecom-grade infrastructure, these capabilities allow operators to run more intelligent and adaptive networks.
Industry analysts believe such partnerships between telecom equipment vendors and hyperscale cloud providers will play an important role in the evolution of 5G and future mobile technologies.
If the pilot proves successful, it could demonstrate how artificial intelligence and cloud integration may enable telecom operators to manage increasingly complex networks while unlocking new digital services and revenue streams.
Newshub Editorial in Europe – February 27, 2026
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