From Paper to Pixels: How Artificial Intelligence is Reshaping Archival Practices
Received Date: Nov 02, 2024 / Published Date: Nov 30, 2024
Abstract
The integration of Artificial Intelligence (AI) in archival practices marks a significant shift in the management, preservation, and accessibility of historical, cultural, and scientific records. As the volume of digital data continues to grow, traditional archival methods are becoming increasingly insufficient in handling this influx. AI-powered technologies, including machine learning, natural language processing (NLP), and computer vision, are transforming how archives are organized, categorized, and made accessible. These tools automate mundane tasks, improve metadata generation, enhance search and retrieval systems, and ensure the long-term preservation of digital content. This article explores the ways in which AI is reshaping archival workflows, addressing challenges such as data overload, accessibility, and digital preservation, and highlights the future potential of AI-driven archives
Citation: Yajan Y (2024) From Paper to Pixels: How Artificial Intelligence is Reshaping Archival Practices. Arch Sci 8: 249 Doi: 10.4172/science.1000249
Copyright: © 2024 Yajan Y. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited
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