Machine learning (ML) plays a crucial role in AIOps platform development by enabling the system to learn from historical data and continuously improve its predictions and anomaly detection capabilities. With ML, AIOps platforms can identify hidden patterns in massive datasets, making it possible to foresee potential issues before they occur. ML models can also adapt to changing environments, ensuring that the AIOps system remains effective as new data types, workloads, and technologies emerge. For instance, machine learning can help classify different types of events, rank their severity, and automatically generate tickets for the IT team. Additionally, ML enhances root cause analysis, which is essential for resolving complex incidents faster.