You and your IT Ops team obviously know how to handle all of the tasks at hand, but… do you really need to be doing all of them? Wouldn’t it be nice to work smarter, not harder for a change? That’s where a good ML/AI solution can make all the difference – let’s see how much stress can be taken off your shoulders!
Setting up and managing an enterprise network is not much of a hassle on its own, especially when we can leverage cloud. However, what is not easy for many IT teams is dealing with all the other tedious and energy-consuming tasks like onboarding the employees, modifying their network for remote work, responding to trouble tickets, and so on. According to a survey done by CA Technology, 47% of IT professionals receive each month… over 50,000 alerts.
The fact that organizations transform digitally, accelerating the pace and scale of network changes, doesn’t necessary help, either. As businesses grow and data increases along with the sources from which it’s collected, so do their technology needs. So what we often hear from network engineers is that they feel like they need to be in a couple of places at once, but there is only so much time on everyone’s hands…
More than AI, more than Ops
To alleviate some of IT’s workload by automating and enhancing more operations, companies and organizations are harnessing the power of artificial intelligence (AI) and machine learning (ML).
What AI means for network engineers is essentially that a computer can complete a certain task, following a similar logic to what a human expert would do, when presented with the same situation. ML, on the other hand, can help us ensure that the computer in question continuously learns from data to take the best course of action.
When the two are combined, they can help you get back the time your IT team desperately needs. The study we mentioned earlier confirms that 97% of IT professionals actually believe AIOps platforms provide valuable insights to help automate and enhance IT operations.
By leveraging network analytics and data, a good ML/AI technology can make informed decisions about addressing connectivity disruptions and detecting anomalies, nipping the issues in the bud before they have a chance to wreak havoc on IT operations, customer experience and overall business outcomes. The ExtremeCloud CoPilot solution offers that and much, much more!
Your trusted CoPilot
Extreme plays a key role in simplifying the work of IT staff by providing a complete and unified portfolio of products and services. ExtremeCloud IQ helps to provide unified AIOps across wired, wireless, and SD-WAN, and ExtremeCloud CoPilot is the ideal addition to any ExtremeCloud IQ deployment to efficiently deliver explainable ML insights to cloud-native wired and wireless devices.
To put it shortly, by leveraging large cloud data sets and explainable Machine Learning, CoPilot enables your IT team to be everywhere, see everything, and prepare for anything. Here’s just a couple of things that ExtremeCloud CoPilot is capable of and how they translate into actual values, both for the IT team and the organization as a whole:
- Anomaly detection – proactively eliminating troubleshooting challenges before they occur by monitoring machine-learned performance thresholds of Extreme cloud-managed wired and wireless devices.
- Digital Twin – ensuring minimal network disruption prior to deployment by creating a simulated version of your Extreme device, staging it, and validating it in the cloud.
- Explainable ML – drastically reducing Mean-Time-to-Resolution for IT Operations teams with handheld troubleshooting recommendations.
- Client Experience – optimizing user experiences by modeling all important steps in client connectivity and performing faster root cause analysis of degraded client experience.
- GTAC Case Creation – streamlining IT Operations workflows by efficiently engaging with Extreme support directly for pesky issues.
- Mobile App Integration – seeing everything immediately by monitoring CoPilot anomalies directly on your mobile phone via the ExtremeCloud IQ Companion mobile app.
On top of that, since CoPilot is built and designed in the cloud, its capabilities can be extended over time to continually advance the efficiency of your IT Operations!
While the potential use cases for the solution are numerous, we are excited to see the problems it has been actually able to solve for our customers.
ExtremeCloud CoPilot – case study
A Higher Education customer network was experiencing inconsistent wireless experience within their auditorium. Local IT staff were initially finding it challenging to replicate and troubleshoot issues. Would they have to go on-site to perform RF environmental measurements? Would they have to wait a few weeks for the issue to reoccur?
Using CoPilot, the IT team noticed it detected a Wi-Fi Capacity anomaly, which was triggered by >80% channel utilization with re-occurring spikes over a consistent length of time. CoPilot identified a high client count and was able to explain that the issues were likely due to Wi-Fi capacity limitations, which could either be fixed by adding more APs or re-positioning APs for better signal-to-noise ratio. By proactively becoming aware of the issue, IT was able to identify the problematic APs, reposition them, improve the signal-to-noise ratio and increase end user performance.
End result? A more seamless learning experience and avoiding costly on-site troubleshooting.