Can IT teams use artificial intelligence to make their jobs easier? According to 97% of IT organizations, AIOps solutions are a great tool to help automate and enhance IT operations to alleviate some of IT’s workload.
What is Artificial Intelligence for Networking?
Artificial intelligence is essentially when a computer is able to complete a task following a similar logic to what a human expert would do presented with the same situation. Machine learning can help you ensure that the computer is continuously learning from data to take the best course of action. When the two are paired together, they can help you automate tasks to get back time that your IT team desperately needs.
How Can Artificial Intelligence Help Your IT Team?
ML/AI technology uses network analytics and data to make informed decisions about how to address disruptions to connectivity, detect anomalies, and make recommendations on how to troubleshoot certain network issues.
Here are some of the key benefits of using AI to help manage your network.
Single Pane of Glass Management
IT managers have to keep track of a lot of systems and look at a lot of screens to manage a network that is getting more and more complex. It can be overwhelming to maintain all these different systems at once. With the help of artificial intelligence, you can essentially have a virtual assistant that will help you reduce the number of screens to one that you can organize how you see fit.
Sort Through Unlimited Data
Data can help you make informed decisions that will help with network performance and connectivity but sorting through an unlimited amount of data can take a lot of time. AI is able to sort through your unlimited data and only provide you with what is relevant to help you save time.
Enable Your Team to be More Proactive
There is always something going on that you and your team have to react to. With AI constantly working in the background, it can identify anomalies that might impact your connectivity. This gives your team the tools they need to proactively address anomalies before the user’s experience is interrupted.
Explainable Machine Learning Reduces Time Spent Troubleshooting
Not only is the AI constantly looking for anomalies in the background, but explainable ML and AI algorithms can explain recommended troubleshooting steps to address that anomaly based on data that the machine has already sorted through. This is another big-time saver for your team as they are given simple steps to follow rather than resulting to trial and error to fix the problem at hand.
Introducing ExtremeCloud IQ CoPilot
You and your team know how to do all of the tasks at hand, but does your team really need to be doing all of it? Wouldn’t it be nice if you had a CoPilot that could shoulder some of the responsibility so that your team can work smarter not harder?
That is exactly what ExtremeCloud IQ CoPilot is here for! CoPilot can help your team by taking on responsibilities that are time-consuming and freeing you to address everything else on your to-do list.
Don’t just take our word for it; learn why the City of Memphis is excited about how AI can help them better manage their network and why they are looking forward to using ExtremeCloud IQ CoPilot.
For more information on how your IT team can be everything at once with the right CoPilot, watch this video.
Join us December 13 for a live webinar where we will show you how CoPilot can help IT teams be everywhere at once to ensure optimal user experiences. Register Now!
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