Abstract
With the arrival of the information and digital age, traditional document and archives management methods have gradually revealed a series of issues, such as low efficiency, easy loss of information, and difficulties in storage and retrieval. The rise of intelligent technology has provided a new solution for document and archives management. Particularly, the combination of technologies like artificial intelligence, big data, and cloud computing has greatly improved the level of intelligence in archives management. This study aims to explore the application of intelligent technology in document and archives management, analyzing its advantages in improving management efficiency, ensuring data security, and optimizing storage and retrieval. At the same time, the challenges and issues faced in the application of these technologies are discussed. Through an in-depth analysis of intelligent technologies, this paper proposes key application paths such as intelligent classification, automated storage, intelligent retrieval, and security assurance, while exploring innovative management models in the context of digital transformation. The goal is to provide theoretical support and practical guidance for the modernization and intelligent development of document and archives management.
Published Version
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