GASPRO International Journal of Eminent Scholars

                                                                    ABSTRACT

This study provides an overview of the application of artificial intelligence (AI) in library management, focusing on the processes involved and the prospects it holds for the future. AI has revolutionized electronic library services through digitization, cataloguing, recommendation systems, and data analysis. Digitization efforts, supported by AI technologies such as optical character recognition (OCR), have made vast collections of physical resources accessible in digital formats, breaking geographical barriers and promoting inclusivity. AI-powered cataloguing and indexing systems enhance the organization of library materials by extracting metadata and keywords, facilitating efficient search and retrieval mechanisms for users. Furthermore, AI-driven recommendation systems analyze user behaviour and preferences to provide personalized recommendations, improving the user experience and engagement with library resources. The prospects of AI in library management include advancements in natural language processing, deeper integration into library workflows, and the development of AI-driven virtual assistants. However, processes such as digital asset management, user interaction and Chabot’s, and collection development and management. The study concludes that AI's application in library management has brought about significant improvements in accessibility, organization, personalization, and data analysis. One of the recommendations provided was that libraries should prioritize investments in robust AI infrastructure, including hardware, software, and data storage capabilities. This ensures that AI systems can operate efficiently and handle large volumes of data for tasks such as digitization, cataloguing, and data analysis.

KEYWORDS: Artificial Intelligence, Library Management, Process and Prospects