AI-Driven Transformation in Libraries: AI Features in Open-Source vs. Proprietary Applications

Libraries are fast-growing with the implementation of Artificial Intelligence technologies, trans-forming operations, resource management, and user services. This study examines AI implementa-tion in open-source and proprietary library systems. AI-driven solutions enhance cataloguing, metadata management, search functionality, discovery services, virtual assistance, and personalized user experiences. Proprietary systems are competitive in exploring AI adoption with predictive ana-lytics, automated classification, linked data, discovery services, and virtual assistants. In contrast, open-source systems show potential but require further technological advancements in the current studies. The study also explores the role of AI in digital repositories, research management, and dis-covery services. Future developments should try to improve open-source AI tools to ensure wider accessibility and inclusion of various types of libraries.

کلیدواژه ها:

Artificial Intelligence ، Machine learning ، academic library ، Open-Source Software ، Proprietary Software ، Library transformation