From Reactive to Predictive: Forecasting Network Congestion with Machine Learning andINT

Machine learning techniques are being utilized to forecast network congestion proactively, enabling network administrators to address potential issues before they impact performance. By analyzing real-time data and traffic patterns, models can predict congestion points with high accuracy, facilitating a shift from reactive to predictive network management.