The solution uses agentic AI to analyze real-world internet data—locations, events, traffic, incidents, and maps—enabling adaptive network slicing. This approach delivers premium services that respond dynamically to changing conditions, ensuring optimal performance at all times.
Operators often struggle to optimize performance during traffic spikes, emergencies, or massive events. Autonomous slicing intelligence dynamically adjusts network resources even under the most demanding conditions and across different geographic areas.
The solution enables:
Intent-based enterprise slicing: monitors KPIs such as bitrate and latency and adjusts RAN policies to meet SLAs across campuses, business parks, or cities. Applicable to manufacturing, IoT, drones, smart cities, hospitals, energy, transportation, and ports.
On-demand slicing: enhances dedicated 5G base stations during emergencies or traffic spikes, benefiting emergency services and premium customers (gaming, streaming, XR, AI).
Mass event management: optimizes capacity at concerts and sporting events, prioritizing VIP services, digital payments, video streaming, and operations.
The solution integrates technologies such as 5G AirScale, MantaRay SMO, and Nokia's AI agentica modules with the Amazon Bedrock platform, enabling intelligent optimization of RAN, core, and transport. Furthermore, with Amazon EKS Hybrid Nodes, operators can deploy AI agents on existing infrastructures, unifying Kubernetes management across cloud and edge.
This innovation marks a milestone in the evolution towards AI-native networks, transforming network slicing into a true business enabler to monetize 5G investments through differentiated and dynamic services.
