o much data and logs. Artificial intelligence (AI) can quickly and correctly look at large datasets. It can find current trends and help imagine strange patterns in the future. Automating processes, cutting costs, and reducing the need for human input are other ways that AI improves speed and efficiency. For many uses, network and system data can be used to train AI models. Network time series data, for example, is analyzed using statistical and machine-learning methods. For making predictions and finding outliers, these models are used. We grouped data using unsupervised machine learning algorithms. This clustering helps group network users and processes, depending on the application. Analyzing these clusters gives us useful information for making decisions. For instance, we can group users whose actions are similar or group processes based on how they use resources.