Welcome back to our channel! In the second part of our AI for Networks series, we explore how Artificial Intelligence and machine learning can improve alarms by enhancing root cause detection mechanisms and filtration of non-meaningful alarms.

In this episode, we showcase how AI and Machine Learning techniques can improve the way network operators handle alarms. With the increasing complexity of modern networks, the sheer volume of alarms can overwhelm network operators, making it challenging to identify the root cause of issues and prioritize the most critical alarms that require immediate attention.

We’ll explain how machine learning algorithms can be used to analyze and correlate vast amounts of network data in real-time, enabling the identification of the root cause of issues. We'll also talk about how AI-powered filtration algorithms can automatically filter out non-meaningful alarms, empowering network operators to focus on the most critical issues that impact network performance and reliability.