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Nokia Expands Analytics Portfolio with Machine Learning and Crowd-sourced Data

Nokia Expands Analytics Portfolio with Machine Learning and Crowd-sourced Data Image Credit: Nokia

Nokia expands its Analytics Services offering with crowd-sourced measurements, enriched through machine learning to provide forensic analysis of network performance and actionable outputs.

Powered by the Nokia AVA cognitive services platform, the new Analytics services also draw on Nokia Shannon Intelligence, which integrates augmented intelligence throughout the company's end-to-end portfolio.

Nokia Analytics Services introduces six new use cases: 

More agile and advanced methods are required to address the requirements of increasingly dense, complex, and multi-layered networks on the path to 5G. Mobility Analysis and Optimization reduces dropped calls by up to 35 percent using crowd-sourced performance measurements and algorithms developed by Nokia Bell Labs. Spectral Performance Management uses a similar approach to enable more granular capacity planning.

Operators are evolving towards future artificial intelligence-driven network operations. Cell Site Degradation Prediction can already predict service degradations on cell sites up to seven days in advance through machine learning. Similar Ticket Recognition uses deep-learning to find patterns in unstructured data, and the Nokia MIKA digital assistant to guide engineers to the best solutions to network issues, leading to a 20-40 percent improvement in first time resolution.

Operators want near real-time insight into the quality of experience (QoE) that subscribers receive. VoLTE Audio Gap Analysis boosts the experience for subscribers using VoLTE by using machine learning and can be further enhanced by Nokia's Wireless Network Guardian solution. Multiple sources of data are correlated to rapidly identify issues that impact QoE. Predictive Video Analytics provides insight on encrypted traffic and identifies bottlenecks that impact the delivery of video services. Furthermore, Nokia Bells Labs modeling is used to quantify the link between video QoE and underlying business drivers such as churn, and net promoter score.

Sheryl Kingstone, Research Director, 451 Research
The business potential of analytics is yet to be tapped fully by the telco industry. Telecom operators often require help to unlock the value of data, through targeted and actionable insights. 

Dennis Lozenzin, Head of Network Planning and Optimization, Global Services, Nokia 
Our analytics services help to cope with the complexity of today's networks.  We at Nokia provide insights to improve network availability and quality. We can augment human intelligence to improve efficiency and reduce the cost of operations. 

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Author

Ray is a news editor at The Fast Mode, bringing with him more than 10 years of experience in the wireless industry.

For tips and feedback, email Ray at ray.sharma(at)thefastmode.com, or reach him on LinkedIn @raysharma10, Facebook @1RaySharma

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