Network issues can cause huge and costly disruptions to businesses. That’s why Cisco has developed new technology that can predict them before they happen.
While networks have evolved to detect and react to problems to maintain performance and reliability, the next logical step is for networks to predict problems before they occur. Over the past two years, Cisco has worked to achieve this by using predictive models with customers in a wide variety of industries.
Cisco’s first predictive analytics engine will be able to help IT teams prevent problems while improving the user experience.
Cisco Predictive Networks combine new predictive technologies with the company’s broad portfolio of observability, visibility, and intelligence technologies to improve reliability and performance in all operational scenarios.
Cisco Predictive Networks
To predict network issues before they happen, Cisco Predictive Networks collect data from a myriad of telemetry sources.
Once this data is fed into the company’s predictive analytics engine, it learns the patterns using various machine learning models and begins to predict user experience issues while providing options for troubleshooting. . Customers also have great flexibility when delivering Cisco’s new solution, as they can decide how far and how wide the engine connects across their entire network.
Cisco President and CEO Chuck Robbins provided additional insight in a press release on the company’s work with predictive networks over the past two years, saying:
“The future of connectivity will rely on self-healing networks that can learn, predict and plan. Our research into 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.”
We’ll likely hear more from Cisco about its predictive networking technology once the company is ready to ship it as a full product.