For the past two years, Cisco has been working on Cisco predictive networks, a predictive analytics engine that will help IT teams prevent issues and elevate the user experience.
Cisco has tuned and tested predictive models with customers across a variety of industry segments, incorporating advanced analytics and machine learning techniques to enable greater precision and ease of use.
Cisco predictive networks work by gathering data from a myriad of telemetry sources. Once integrated, it learns the patterns using a variety of models and begins to predict user experience issues, providing problem solving options. Customers can decide how far and wide they want to connect the engine throughout the network, giving them flexible options to expand as they need.
“The future of connectivity will rely on self-healing networks that can learn, predict and plan,” said Chuck Robbins, Chair and CEO, Cisco. “Our research for predictive networks has been tested and developed with customers, and early adopters are seeing major benefits saving them time and money. The industry has been waiting for secure, proactive networking and only Cisco can do it right.”
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