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Nokia explores big data-driven artificial intelligence for networks

3/09/2014 by


Nokia Networks is highlighting the potential of big data-driven artificial intelligence and automation, aiming to show a vision of the future for networks that allows them to more precisely allocate resources and run more efficiently.

Ajit Kahaduwe, head of ecosystem innovation for Nokia Networks, said the company believes it can drive up to 30% extra capacity by allowing more application sessions to be run simultaneously and give sessions exactly the resources they need, rather than too much or too little. The technique, which the company calls its Nokia Networks FutureWorks, involves instant optimization by relying on artificial intelligence for networks in the form of an analytics and decision engine that also integrates automation and machine learning over time based on network conditions. 

“This cannot be achieved by current methods because … an automated, immediate and interactive loop between analytics, decision and optimization has been missing,” the company said. Nokia said that, for instance, a more intelligent network would be able to adapt to a changing subscriber environment, such as being able to provide a consistent video experience along a travel route.

Kahaduwe noted that the design of networks rarely keeps pace with the way they are actually used.

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