Enterprise networks have evolved in terms of functioning and usage over the past few decades. Now, modernizing IT, providing the foundation for enterprises to remain competitive are critical for business success. These changes in network complexity and composition are fueled by the increasing use of the network to provide business-critical IT services. In parallel with this development in the network, it has become challenging and time consuming to create and manage systems.
Today network monitoring tools have begun to implement artificial intelligence and machine learning into their systems. Network performance monitors can utilize AI to analyze and respond to performance data. The use of Ai is widespread today, and more and more companies are reaping the benefits that AI brings to their networks. Networks generate a mass volume of data daily, and AI can sift through this as it travels along with the system.
Network AI examines data regularly and provides a historical and current data to compare against. Implementing machine learning to study past data can offer insights about network trends. It analyzes the problematic data to identify issues and deal with them. Thus alerts can be sent on malicious information without performing an in-depth analysis every time. Network Monitoring