AI-Based Intelligent Information System Operation and Maintenance

  • Sihao Huang The 52nd Research Institute of China Electronics Technology Group Corporation, Hangzhou 311100, China
Keywords: Information system operation and maintenance, Intelligence, Fault prediction and diagnosis, Performance optimization, Security protection

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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Published
2025-12-16