Traditional approaches to network management can no longer keep pace with today’s network scale and dynamism. This is where Artificial Intelligence (Al) steps in-transforming networks from reactive systems into intelligent, self-optimizing ecosystems.

Al-driven networks leverage machine learning, predictive analytics, and automation to anticipate issues before they occur, optimize resource allocation in real time, and deliver superior user experiences. From automated fault detection to dynamic traffic routing, Al is enabling networks to be more resilient, efficient, and adaptive.

Some of the key Al-ML applications in networks are: