AI-controlled “predictive maintenance” for the network

AI-controlled "predictive maintenance" for the network

Cisco presents “Cisco Predictive Networks”, an AI–based technology for predicting and possible troubleshooting of network problems. A combination of telemetry data, predictive models and machine learning should help with this. […]

Unplanned network outages are a poison for the productivity of employees, machines and entrepreneurial processes. According to a press release, Cisco has developed a technology that works like a “predictive maintenance” for corporate networks. With the help of this AI-supported technology, problems are to be predicted in the future, even before they occur. The company has now developed a so-called predictive analytics engine for this purpose. Cisco announces that it will offer this technology in the form of integrated, easy-to-use SaaS offerings for its entire network portfolio.

Responding to disruptions was the biggest network challenge for almost half (45 percent) of all IT managers worldwide in 2021, according to a result of Cisco’s Global Networking Trends Report 2022. Predictive technologies will reduce this burden in the future and help IT teams avoid costly interruptions, according to Cisco.

Predictive networks

In order to improve network reliability and performance in all operating scenarios, Cisco combines new predictive methods with technologies for monitoring, transparency and intelligence. Over the past two years, the company has developed a predictive analytics engine for this purpose and has extensively tested it in practical operation with customers. In cooperation with customers from various industries, the respective forecast models were optimized, whereby advanced analysis methods and machine learning ensured high precision in the prediction.

“Cisco Predictive Networks” collects data from a variety of telemetry sources. Once they are integrated, the cloud-based software learns to recognize patterns using models. This makes it possible to predict problems in the network environment and provide troubleshooting options. The technology is designed in such a way that customers can decide for themselves how far they want to integrate the engine into their network. This leaves you room to test the use of the technology and expand it flexibly in the future.

“The future of connectivity will depend on self-healing networks that predict, learn and plan,” predicts Chuck Robbins, Chairman and CEO of Cisco. “Our predictive network technology was developed and tested together with customers. Our pilot users see great advantages in the areas of saving time and money. The industry has been waiting for a secure, proactive network, and only Cisco is able to provide it.“

The first impression counts

Predictive technology is becoming the key for IT teams to cope with current infrastructure tasks – whether it is to ward off cybersecurity threats, enable hybrid work or build modern cloud structures. In addition, reliable network connections are now business-critical for employees and customers. For customers, the performance of an app often already provides the first impression of a company. If a digital service does not work, almost 60 percent of customers avoid it permanently – this is the result of a recent study on the role of digital experiences in purchasing behavior. In order to profitably implement digital business opportunities, companies need to better predict network problems, proactively avoid them and ensure the best possible experience for their customers, according to Cisco’s press release.

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