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<article xsi:noNamespaceSchemaLocation="http://jats.nlm.nih.gov/publishing/1.1/xsd/JATS-journalpublishing1-mathml3.xsd" dtd-version="1.1" xmlns:xlink="http://www.w3.org/1999/xlink" xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance"><front><journal-meta><journal-id journal-id-type="publisher-id">JERA</journal-id><journal-title-group><journal-title>Journal of Electronic Research and Application</journal-title></journal-title-group><issn>2208-3502</issn><eissn>2208-3510</eissn><publisher><publisher-name>Bio-Byword Scientific Publishing Pty. Ltd.</publisher-name></publisher></journal-meta><article-meta><article-id pub-id-type="doi">10.26689/jera.v9i6.13154</article-id><article-categories><subj-group subj-group-type="heading"><subject>Article</subject></subj-group></article-categories><title>AI-Based Intelligent Information System Operation and Maintenance</title><url>https://artdesignp.com/journal/JERA/9/6/10.26689/jera.v9i6.13154</url><author>HuangSihao</author><pub-date pub-type="publication-year"><year>2025</year></pub-date><volume>9</volume><issue>6</issue><history><date date-type="pub"><published-time>2025-12-16</published-time></date></history><abstract>This paper focuses on AI intelligence as the fundamental direction to conduct research on information system operation and maintenance (O&amp;amp;M). Combining current AI-supported technologies in information system O&amp;amp;M, it proposes O&amp;amp;M strategies such as intelligent fault prediction and diagnosis, intelligent system performance optimization, intelligent system security protection, and adaptive system O&amp;amp;M implementation. Practical applications reveal that AI intelligence technology offers significant advantages in information system O&amp;amp;M, effectively addressing pain points of traditional O&amp;amp;M techniques, such as low fault prediction rates, slow repair speeds, poor security interception, and high labor costs. 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