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Beyond Service Agility for R&E: Advanced analytics helps boost network optimization

New educational technology applications and research data collection are  driving massive change to both campus networks and R&E network  operators. Increased demand for mobility, student and researcher  collaboration, digitization of everything, and cloud applications is  driving bandwidth demand and creating increasingly complex networks. NFV  and SDN continue to gain traction, as they enable R&E network  operators to achieve network agility and meet the expectation of great  service reliability and performance. This ensures that trust, student  enrollment, facility retention, and funding isn’t lost. Ciena’s Blue  Planet Network Health Predictor—an advanced analytics application that  uses predictive analytics and machine learning—is here to help.

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