Generative AI, with its ability to create new content and data based on existing patterns, offers several compelling use cases in networks and telecom. Here are some key applications:

1. Data Augmentation: Generative AI can generate synthetic data to augment existing datasets used for network training and testing. Generative AI helps improve the accuracy and robustness of machine learning models used for network optimization, anomaly detection, and security analysis by creating additional samples that mimic real-world network traffic patterns.
2. Network Simulation and Testing: Generative AI can generate synthetic network…