prnewswire : Nokia announces machine learning-powered customer experience solutions; sets new standard for / 10:46
follow the latest progress in Nokia prnewswire most famous technicals by 2016-11-22 at 10:46
Nokia Motive SMP 7.0 features Dynamic Intelligent Workflows, a new self-optimizing system that determines the ideal sequence of tasks that deliver the highest probability of resolving billing, subscription and network service issues in the shortest amount of time.By analyzing data from previous workflow executions, the network, customer premises equipment, and trouble tickets, this capability enables service providers to quickly find the optimal remediation to issues when subscribers contact help desk agents or use self-care.Nokia Motive CAL 2.0 is the first solution of its kind that automatically correlates customer help desk calls and self-care actions with network, service and third-party application topologies to identify call anomalies, such as unusual patterns in help desk calls that indicate the location of customer-impacting network and service issues.
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When wireless networks go down, the speed with which operators can respond is critical.The first step is identifying the problem, which can mean piecing together data from disparate service calls and even social media.Nokia, which supports 1.5 billion mobile devices with its Motive care and provisioning software, has found machine learning can help diagnose problems faster and also prevent them from ever occurring.
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Nokia on Thursday updated its customer experience solutions (CXS) portfolio to make use of machine learning algorithms developed by its Bell Labs arm.The Finnish vendor claims that its new Motive Service Management Platform (SMP) and Motive Care Analytics (CAL) can reduce call-handling times by 5%-15%, and reduce unnecessary truck rolls to network outages by as much as 90%.They can also cut outage-related help desk call by 85%, Nokia said.
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Nokia announces machine learning-powered customer experience solutions; sets new standard for
Nokia Motive SMP 7.0 features Dynamic Intelligent Workflows, a new self-optimizing system that determines the ideal sequence of tasks that deliver the highest probability of resolving billing, subscription and network service issues in the shortest amount of time.By analyzing data from previous workflow executions, the network, customer premises equipment, and trouble tickets, this capability enables service providers to quickly find the optimal remediation to issues when subscribers contact help desk agents or use self-care.Nokia Motive CAL 2.0 is the first solution of its kind that automatically correlates customer help desk calls and self-care actions with network, service and third-party application topologies to identify call anomalies, such as unusual patterns in help desk calls that indicate the location of customer-impacting network and service issues.
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Nokia uses machine learning to boost operator efficiency
When wireless networks go down, the speed with which operators can respond is critical.The first step is identifying the problem, which can mean piecing together data from disparate service calls and even social media.Nokia, which supports 1.5 billion mobile devices with its Motive care and provisioning software, has found machine learning can help diagnose problems faster and also prevent them from ever occurring.
read more from here
Nokia launches machine learning-based customer care solutions
Nokia on Thursday updated its customer experience solutions (CXS) portfolio to make use of machine learning algorithms developed by its Bell Labs arm.The Finnish vendor claims that its new Motive Service Management Platform (SMP) and Motive Care Analytics (CAL) can reduce call-handling times by 5%-15%, and reduce unnecessary truck rolls to network outages by as much as 90%.They can also cut outage-related help desk call by 85%, Nokia said.
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