Large Model-Enabled Intelligent Operations and Maintenance in Enterprises: Implementation Challenges and Strategic Solutions
DOI:
https://doi.org/10.53469/wjimt.2026.09(02).07Keywords:
Enterprise Intelligence, Data Replication, Intelligent Operations and MaintenanceAbstract
With the deepening and expansion of digital transformation, traditional IT operation and maintenance models face severe challenges. Large model technology, learning, recognition, and generation capabilities, provides new solutions for enterprise intelligent operation and maintenance. However, the implementation of large models in the operation and maintenance field presents core challenges such as talent scarcity, data quality and governance issues, complexity in business scenario decomposition, and cost-benefit balance. This paper systematically analyzes these difficulties and proposes targeted solutions. Through high-value scenario pilots, progressive promotion, and continuous iterative optimization, enterprises can gradually achieve intelligent transformation of operation and maintenance, ultimately improving IT operation and maintenance efficiency and system stability.
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