1, data-driven fault prediction and prevention: big data and AI technologies can analyze and mine huge amounts of O&M data, identifying potential fault patterns and abnormal behaviors, thus enabling fault prediction and prevention.

2. Automated fault diagnosis and repair: AI-based intelligent O&M systems can automatically diagnose faults and provide corresponding repair recommendations. It can greatly reduce the time for troubleshooting and repair, and improve the availability and stability of the system.

3, intelligent resource optimization: through big data analysis and artificial intelligence algorithms, intelligent operation and maintenance can optimize the management of system resources, including server resources, network bandwidth, storage capacity and so on.