BUILD YOUR OWN
RESOURCE LIBRARY
Opinions
How AI will define cities and mobility in 2026Sponsored by ST Engineering
Why water must lead the smart city conversationSponsored by Bentley Systems
Nokia and AWS to demo agentic AI-powered network slicing at MWC
AI will be used to analyse real-world data, including locations, events, traffic, incidents, and maps, enabling telcos to deliver adaptive network slicing.
At a glance
Who: Nokia; Amazon Web Services (AWS).
What: Nokia and AWS are collaborating to bring what claims to be the first agentic AI-powered 5G-advanced network slicing solution in a live 5G network.
Why: It enables telcos to provide premium services precisely where and when they are needed. The agentic AI can be used to analyse real-world internet data, including locations, events, traffic, incidents, and maps,
When: It will be demonstrated at this year’s Mobile World Congress (MWC) in Barcelona from 2-5 March.
Nokia is collaborating with Amazon Web Services (AWS) to bring what claims to be the first agentic AI-powered 5G-advanced network slicing solution in a live 5G network. It will be demonstrated at this year’s Mobile World Congress (MWC) in Barcelona from 2-5 March.
The agentic AI will be used to analyse real-world internet data, including locations, events, traffic, incidents, and maps, enabling telecommunications providers to deliver adaptive network slicing.
Combining agentic AI with network slicing
The 5G slicing innovation combines Nokia’s advanced network slicing with AWS AI platform technologies to empower telecommunication providers in delivering premium services precisely where and when they are needed. Du and Orange are the first to explore the innovation in their respective networks.
The agentic AI-powered approach unlocks customer value across diverse applications and use cases by creating premium services that respond intelligently to dynamic conditions, ensuring optimal performance precisely where and when customers need it.
“By integrating agentic AI capabilities through Amazon Bedrock with Nokia’s application, operators can now deliver intelligent, context-aware network slicing that responds dynamically to real-world conditions”
Telecommunication providers can face challenges optimising network performance during unpredictable events like traffic surges, emergencies or mass gatherings, which can result in suboptimal service quality and inefficient resource utilisation. Autonomous network slicing intelligence dynamically adapts and manages even the most challenging traffic conditions across varied geographical areas.
“This innovation marks a major milestone in the evolution of AI-native networks,” said Pallavi Mahajan, chief technology and AI officer at Nokia. “By combining Nokia’s advanced network slicing capabilities with agentic AI, we are enabling operators to deliver premium, intent-based services that adapt dynamically to real-world conditions.
“Nokia is advancing connectivity by unlocking new value streams for telecommunication providers and supporting next-generation applications and differentiated services for enterprises, industries and consumers.”
Read More
Amir Rao, global director, GTM and telco solutions at AWS, reckons network slicing has long promised to unlock new revenue streams for operators, but manual configuration and static policies have prevented end customers from accessing on-demand provisioning.
“By integrating agentic AI capabilities through Amazon Bedrock with Nokia’s application, operators can now deliver intelligent, context-aware network slicing that responds dynamically to real-world conditions from traffic surges to emergency situations,” he said.
“This transforms network slicing from a technical capability into a true business enabler, allowing operators to monetise their 5G investments through differentiated, premium services that adapt automatically to customer needs. Agentic Network Slicing is the beginning of an era that will enable telecommunications providers to enable real-time intent-based service provisioning for end customers.”
Real-world use cases
This agentic AI-powered 5G-Advanced network slicing innovation can be used for different use cases, including:
- Agentic AI for mass events provides much broader capacity availability during high-demand moments like concerts and sporting events. AI analyses network data, infers patterns, and sets slicing policies for scheduled events, optimising premium 5G slicing for VIP spectators, payment applications, fan engagement, video broadcasting and operational crews in arenas, parks and conference centres
- Intent-based enterprise and industrial slicing measures live network key performance indicators and autonomously adjusts policies to meet enterprise service-level agreements across campuses, business parks and city areas. The innovation enhances premium slicing services for critical applications in manufacturing, IoT, drones, smart cities, hospitals, energy, transportation and ports
- On-demand slicing with agentic AI boosts network performance for selected 5G base stations. When activated by external data, this service provides first responders and public safety authorities with better network connectivity during emergencies. On-demand network slicing with agentic-AI preserves quality of service for premium 5G+ and FWA customers using gaming, streaming, XR, and AI applications in response to major traffic surges, weather conditions and environmental changes.
“We are excited to be among the first to pilot this groundbreaking solution on a live network. Agentic AI-powered slicing will allow us to deliver highly responsive, premium services to our customers, whether for critical enterprise applications or enhanced consumer experiences,” said Saleem Alblooshi, chief technology officer at Du.
“This transforms network slicing from a technical capability into a true business enabler, allowing operators to monetise their 5G investments through differentiated, premium services that adapt automatically to customer needs”
“Orange is committed to driving innovation in 5G, and this experimentation demonstrates how AI can transform network operations. With intent-based slicing, we can anticipate customer needs and deliver tailored services that meet the demands of diverse use cases, from mission-critical to immersive entertainment,” added Atoosa Hatefi, director of innovation in radio and environment, Orange.
Visitors to Nokia’s booth in Hall 3 at this year’s Mobile World Congress in Barcelona from 2-5 March will be able to see live demonstrations of Nokia’s slicing solution and the agentic AI-powered advanced network slicing innovation.
Why not try these links to see what our SmartCitiesWorld AI can tell you.
(Please note this is an experimental service)
How does agentic AI determine slicing policies from real-world event data?How can operators monetize dynamic, AI-driven 5G network slicing effectively?Which KPIs should intent-based slicing monitor to meet enterprise SLAs?How would on-demand slicing prioritize first-responder traffic during emergencies?What integration steps are required between Nokia and AWS Bedrock platforms?Latest City Profile
SmartCitiesWorld Newsletters (Daily/Weekly)
You may also like these related articles...
BECOME A MEMBER
© 2026 SmartCitiesWorld
Smart Cities World Ltd, 27 Clements Lane, London, EC4N 7AE