The Role of Artificial Intelligence in Network Evolution.

January 25, 2021by kamal raja0

Let us start with understanding what networks actually are: A network consists of two or more devices that are linked to each other to share information, exchange files, or allow electronic communications.

A connection in the primal times used to be with cables, thanks to the technological revolution that invented wireless connections. Imagine how life would be if cables were connected to our devices everywhere we go?

Common issues we face with the network.

Technology evolves and makes things much better than what it used to be in the past. With these new changes and enhancements, new vulnerabilities arise as well. Nothing has been more frustrating than not being able to connect to the network or getting slow internet despite having connectivity. Other than this, the safety of our information uploaded could be prone to risk, suddenly the network getting vanished away while doing something urgent makes us feel like the world has stopped. All of us are aware of what situations these issues create. With the breakout of AI into most industries, the network industry is no exception to that.

How AI in network can make our lives better. 

  1. Automated Problem Diagnosis– Conventionally, when we face issues with the network, the process of complaining and get the issue resolved takes a lot of time. With the implementation of AI in networks, we can eliminate dealing with the entire process of complaining and within clicks, we can get the problem escalated to get the necessary troubleshooting done. As soon as the user faces any issue with the network, the problem will be recorded and diagnosis for the same will take place automatically without any human intervention. The root cause will automatically be identified and the resolution will be accelerated.
  2. Enrich User Experience: AI-implemented networks are capable of learning connected devices on the network. By recording this data, it can monitor the applications used and automatically adjust bandwidth capacity depending upon the capacity demanded by the particular application. While doing so, it will also minimize the dissemination of bandwidth to the applications which are not in use or contributing to the betterment of the running application. This will ensure an uninterrupted and smooth user experience.
  3. Real-Time Insights– Since AI uses machine learning techniques, where it records data to make predictions and learn algorithms. It will also help us with real-time insights of the user connected to the network. This is mostly beneficial at an enterprise level, where a massive number of audiences are connected to the network. These insights can help in tracking the amount of traffic that is connected to the network and also target the traffic with personalized preferences. The collection of this information over time will help the network to predict the flow of traffic that could arise.
  4. Network Downtime Elimination- By implementing AI in networks, it gives a switch from traditional reactive methods to proactive methods. Since the automated method of finding problem, diagnosing it and prescribing solution, this will help in the reduction of human interventions. With this proactive approach, we can expect maximum uptime of the network as the solution to the problem is identified and accelerated. Which eventually will help the IT department to focus on their core objectives.

These are a few transformations that have started to take place by implementing AI in the network. Since the pandemic, we saw a great shift across all the major industries to the digital space. Due to this operations shifting, the dependency upon wired and wireless networks has increased. Ones who continue to use traditional network architecture may hinder themselves from growing their business. This shift has increased the importance of the availability of a superior and consistent network across the globe.

Technology is evolving at an extreme pace, more network transformations in the future will definitely happen. We don’t even know what more will be coming next, now it is AI in-network, next could be some other technology enhancing the networks.

Keep reading this space to discover the latest trends in Wi-Fi technology and how you can implement it to upgrade your business. To know more about Aprecomm’s AI-Enabled WiFi click here or email us at info@aprecomm.ai

 

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