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Nokia's New Predictive Care for Fixed Network Helps Operators to Stay on Top of Network Health

20 October 2017
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Nokia's New Predictive Care for Fixed Network Helps Operators to Stay on Top of Network Health Image Credit: Nokia

Nokia recently announced Predictive Care for its Fixed Networks portfolio, establishing a new network care model with automated predictive network support powered by Nokia AVA.

Nokia said that the Predictive Care for fixed networks, enabled by powerful analytical tools and an expert care team, ensures high network availability and performance by addressing potential network problems before they impact service quality.

According to Nokia, the solution;

 - Utilizes the powerful and proven intelligent analytics and automation capabilities of Nokia AVA.

 - Provides near-real time monitoring capabilities to identify network anomalies before they impact service.

 - Leverages knowledge and network symptoms data from customer projects worldwide, known as the knowledge library to which AVA provides access

 - Provides augmented intelligence to a dedicated customer Nokia expert care team to make more accurate recommendations much faster.

 - Provides relevant data to the Nokia expert care team for customer-specific and tailored network analysis and recommendations, increasing network performance and availability

The standalone service provides customer access to the analysis results and network element data so they can stay on top of current network health, added Nokia.

Federico Guillen, President of Nokia's Fixed Networks Business Group
Predictive Care is even bound to grow in importance, as networks evolve to more virtualization, and open interfaces and data models will provide more insight on diagnostics data more easily, across systems and networks, which will further improve the accuracy of predictive analytics. 

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), or reach him on LinkedIn @raysharma10, Facebook @1RaySharma


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