Artificial Intelligence and Machine Learning in Network Monitoring

In the previous article, we discussed the relationship between artificial intelligence (AI) and machine learning (ML). Furthermore, the discussion in this article is still related to both of these things because it will specifically review artificial intelligence and machine learning in network monitoring. What is the role of both in helping to monitor the network? Let’s see the following discussion.

What is Artificial Intelligence?

Artificial Intelligence (AI) is a branch of computer science that creates intelligent machines that can learn, think, and perform tasks like humans. According to Daniel Hein, every day the network can produce a ton of data. Based on these large results, network monitoring requires a system that can help process and analyze the data. In processing data and understanding what is happening in the network, network performance monitoring (NPM) requires a system to do it all. In this case, AI has the most common use in network monitoring which has the task of processing data. In addition, AI also analyzes the data in real-time and can provide information sent and received by a network.

What is Machine Learning?

Machine learning (ML) is used to study historical data to find network trends. The purpose of the network trend is that machine learning will learn about network problems that often occur. Problems that arise will be handled immediately and the problematic data will be examined by machine learning to get an overview of the problems that occur. This allows NPM to recognize dangerous data that could occur in the future instantly. Thus, NPM stores information data that has the potential to be dangerous without having to do in-depth analysis every time.

Benefits of Artificial Intelligence and Machine Learning in Network Monitoring

The benefits of artificial intelligence and machine learning in network monitoring are the ease of analyzing various network problems that can be studied by network performance monitoring (NPM). On the one hand, machine learning will learn how network activity is and on the other hand artificial intelligence can be relied on to apply solutions instantly without human assistance. For example, when AI detects the same problem over and over again, AI will find the best solution to the problem. AI can even make its own decisions when it has enough data to do so.

Although artificial intelligence and machine learning can do their jobs well, they do not necessarily continue to work alone. Both need to be trained to process and respond to what is happening on a network. This means that humans as users can customize AI and ML to be able to analyze and respond to certain types of events that may occur on the network.

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The Benefits of AI and Machine Learning in Network Monitoring

The Benefits of AI and Machine Learning in Network Monitoring