Leveraging AI-Powered DEM for Optimized Network Monitoring

AI-driven DEM solutions that monitor and alert IT teams about network and application performance issues offer swift troubleshooting and resolution.

IT teams are burdened with countless helpdesk tickets, network performance SLAs, driving digital transformation, and optimizing network maintenance costs while attending to customer sites for issue fixing. Some tasks are automated due to AI advancements, but still, IT teams have to give priority to network issues. They have to sift through network and application data to pinpoint critical issues affecting the end user’s digital experience.

In the era of digital-first organizations, optimization of IT resources is vital.

The primary focus of the IT team should be on enhancing the end user’s digital experience, not on determining where to divert their attention first. Yet, pinpointing the focus area in vast and dispersed networks can be taxing, particularly when the problems are of minor impact or ephemeral, obliging IT teams to go through thousands of data points. This is where HPE Aruba Networking User Experience Insight (UXI) steps in.

UXI is an AI-powered digital experience monitoring solution that keeps an eye on network and application performance from the user’s standpoint, while providing in-depth analysis for expedited troubleshooting as well as alerting IT teams to any detected issues. It functions like a remote IT ally, armed with machine learning capabilities, identifying the most vital issues that require attention before they become a source of user frustration. Within UXI, this feature is known as Incident Detection, and it necessitates a minimum of 20 active sensors and sufficient data to establish related models.

The User Experience Insight sensors execute synthetic tests in a ceaseless round-robin cycle, one by one. When these tests pinpoint a problem, they produce an issue. There are two varieties of issues manifested on the UXI dashboard that elicit notifications: threshold contraventions and test failures. The Incident Detection system sifts through issue data in real-time to identify issues that significantly deviate from your typical problem profile. These anomalous issues are then grouped into incidents and brought to your attention on the dashboard. An incident embodies an aggregation of related anomalous issues.

Admin users can interact with each incident by giving it a ‘thumbs up’ or ‘thumbs down’. This input helps to train the system in identifying pertinent and valuable incidents. A ‘thumbs up’ communicates that the IT team finds such incidents useful and would like to see more of them, while a ‘thumbs down’ indicates a desire for fewer such incidents. Issues that could potentially impact the end-user’s digital experience can be upvoted, ensuring that none are overlooked and that notifications are immediate.

The feedback we get from voting goes straight to our AI/ML models. This helps create advanced, self-learning algorithms for better Incident Detection on your account. It reduces background noise, saving you time to concentrate on critical issues arising on your sites.

Customers love our Incident Detection

HPE Aruba Networking

AI is infiltrating every aspect of our lives. Whether it’s helping employees work more efficiently with tools like ChatGPT, Co-pilot, and Gemini or enabling IT teams to automate several network management tasks, AI is at the forefront. UXI’s AI-led Incident Detection feature specifically addresses a core issue for IT teams—alert fatigue. Companies around the world use Incident Detection to prioritize network problems and stay one step ahead of helpdesk complaints.

For instance, one of our retail clients was inundated with alerts concerning threshold violation issues such as “Low Tx/Rx bitrate”. Despite these alerts, their onsite team reported minimal disruption, as the issue was not noticeably affecting their operations and thus it was voted a ‘thumbs down’. Conversely, the alarms raised when both primary and secondary DNS became unreachable were met with a ‘thumbs up’, because this problem meant their customers were unable to access the application. Our machine learning models were able to adapt over time, adjusting to the preferences set by their IT team. This not only saved them a significant amount of time, but also allowed for the prioritization of incidents based on their severity.

UXI has been assisting businesses in establishing robust digital experience monitoring solutions. Reach out to our professionals today to learn how our services can elevate your brand by delivering an uninterrupted digital experience to your customers.

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