Nokia Networks announced it is "unveiling research that combines newly developed telco-scale big data analytics, artificial intelligence and full process automation to make experience management dynamic.
The Nokia Networks FutureWorks innovation is the world’s first technique to instantly optimize the individual application sessions of subscribers to deliver high Quality of Experience (QoE) to almost 100% of all sessions, even under high loads. This cannot be achieved by current methods because, without this, an automated, immediate and iterative loop between analytics, decision and optimization has been missing".
The innovation could help operators to increase customer retention substantially. Up to 30% extra capacity can also be created as more application sessions would run simultaneously with high quality, with sessions getting exactly the resources they need. This opens up a variety of potential new use cases. For example, the network could dynamically adapt to sudden use changes, subscribers could be provided with a consistent video experience along a travel route, or service-affecting faults could be corrected in real-time, relieving customer care.
The QoE enhancements can be achieved by utilizing telco-scale artificial intelligence in an analytics and decision engine that immediately pinpoints the cause of issues in a subscriber’s application session and decides automatically on the best corrective action. Machine learning techniques ensure ever more accurate decisions over time even when data is incomplete or new situations arise.
Full process automation is then applied to immediately implement the appropriate action, such as service adaption or traffic steering.
The innovation has been proven by Nokia Networks tests in real network environments using commercial devices. In the future, dynamic experience management could be deployed in multi-vendor 2G, 3G and LTE networks.
See "Nokia Networks big data innovation promises dynamic experience management" - here and "Applying telco-scale big data to dynamic experience management" - here.
The innovation could help operators to increase customer retention substantially. Up to 30% extra capacity can also be created as more application sessions would run simultaneously with high quality, with sessions getting exactly the resources they need. This opens up a variety of potential new use cases. For example, the network could dynamically adapt to sudden use changes, subscribers could be provided with a consistent video experience along a travel route, or service-affecting faults could be corrected in real-time, relieving customer care.
The QoE enhancements can be achieved by utilizing telco-scale artificial intelligence in an analytics and decision engine that immediately pinpoints the cause of issues in a subscriber’s application session and decides automatically on the best corrective action. Machine learning techniques ensure ever more accurate decisions over time even when data is incomplete or new situations arise.
Full process automation is then applied to immediately implement the appropriate action, such as service adaption or traffic steering.
The innovation has been proven by Nokia Networks tests in real network environments using commercial devices. In the future, dynamic experience management could be deployed in multi-vendor 2G, 3G and LTE networks.
See "Nokia Networks big data innovation promises dynamic experience management" - here and "Applying telco-scale big data to dynamic experience management" - here.
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