Machine Learning: Revolutionizing Network Traffic Management

Machine learning is transforming network traffic management by introducing intelligent, adaptive solutions that revolutionize how organizations handle network optimization and maintenance. The integration of deep learning architectures, particularly Graph Neural Networks, has enhanced traffic prediction accuracy and classification capabilities in Software-Defined Networks. These advancements extend from basic traffic management to comprehensive security measures, cloud integration, and predictive analytics. The implementation of ML-driven systems has improved anomaly detection, resource optimization, and automated incident response while enabling proactive network management strategies that adapt to evolving network complexities and threats.