Abstract

The integration of Artificial Intelligence (AI) into archival practices is revolutionizing the way data is preserved, managed, and accessed. AI-driven technologies are enhancing the efficiency of archiving by automating data organization, improving metadata generation, and enabling intelligent search capabilities. As traditional archival methods evolve, AI systems provide innovative solutions to address challenges such as data overload, preservation of digital formats, and the management of vast, unstructured data. By leveraging machine learning, natural language processing, and predictive analytics, AI is streamlining archival processes and ensuring the long-term accessibility and integrity of valuable information. This article explores the transformative potential of AI in archives, highlighting its role in reshaping data preservation strategies and offering new opportunities for historical research, data discovery, and archival management