Mobile Magazine April 2025 | Page 77

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Nokia’ s Responsible AI for future networks before they impact customers as well as optimise performance.
The energy efficiency of networks can be improved with the use of AI much better than with simple patternbased mechanisms. Also, AI helps to automate routine tasks in network management to free up resources for strategic initiatives and improve operational efficiency.
For example, Nokia MantaRay network management( NM) leverages big data. It combines this data with AI techniques for various functionalities. Being the central source of networkwide operations, it also provides a great source of input for other AI applications in operator networks.
Nokia is closely collaborating with operators on AI concepts and use cases, e. g. intelligent correlation of network alarms. These innovations help maximise the value of AI in network management. AI is also crucial for enabling edge computing and 5G applications, which require low latency and high bandwidth. AI-powered network optimisation and automation are essential for managing these complex and dynamic environments.
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