Keywords
Intelligence
Fault prediction and diagnosis
Performance optimization
Security protection
Submitted : 2025-11-17
Accepted : 2025-12-02
Published : 2025-12-17
Abstract
This paper focuses on AI intelligence as the fundamental direction to conduct research on information system operation and maintenance (O&M). Combining current AI-supported technologies in information system O&M, it proposes O&M strategies such as intelligent fault prediction and diagnosis, intelligent system performance optimization, intelligent system security protection, and adaptive system O&M implementation. Practical applications reveal that AI intelligence technology offers significant advantages in information system O&M, effectively addressing pain points of traditional O&M techniques, such as low fault prediction rates, slow repair speeds, poor security interception, and high labor costs. This substantially enhances the effectiveness of information system O&M.
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