Powered by the Nokia AVA cognitive services platform, the expanding Analytics Services offering takes advantage of billions of crowd-sourced measurements, enriched through machine learning to provide forensic analysis of network performance and actionable outputs. The new services draw on Nokia Shannon Intelligence, which integrates augmented intelligence throughout the company’s end-to-end portfolio.
Nokia Analytics Services are multi-vendor capable, building on several key features:
•Zero CAPEX commercial model delivers analytics solutions via Nokia AVA cloud native platform, linking payment to results
•DevOps approach ensures bi-weekly content development ‘sprints’ to address the fast pace of the IoT world
•Use case factory combines pre-packaged global use cases together with locally developed content to create highly tailored solutions
•Nokia AVA Knowledge Library to re-use code and curate best practice based on the experience of more than 30,000 Nokia services experts around the world
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. Nokia is helping operators through the stormy waters with analytics expertise to improve customer experiences, reduce churn, and identify new revenue sources.”
Dennis Lorenzin, head of Network Planning and Optimization, Global Services, Nokia said: “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. In addition, we can provide deeper insights to improve quality of experience based on subscriber, device and application usage patterns.”
Nokia Shannon Intelligence is the knowledge system infused in Nokia’s next generation devices, machines and networks to extrapolate data trends that aid in machine and human decision making. This includes predictive and cognitive techniques across Nokia’s analytics suite and extensive cloud technologies, combined with other technologies to enable complete digital transformation. Bell Labs, the renowned research and development engine of Nokia, is an expert in augmented intelligence.
TelecomDrive is an effort to create a unique content focused platform for the telecoms and communications segment.