Machine Learning (ML) enhances VSAT systems by enabling them to learn from data patterns and make decisions autonomously. By analyzing historical network performance data, ML algorithms can predict future trends, optimize bandwidth allocation, and improve network reliability. The ability of machine learning to adapt to changing conditions makes it a powerful tool for ensuring consistent and efficient satellite communication, particularly in remote and high-demand areas.
