From Metadata to Machine Learning: Library Professionals' Readiness for Intelligent Cataloguing System

In recent years, intelligent systems have started to transform various facets of human existence, with libraries and information centres being no exception. Numerous libraries are actively pursuing innovative strategies to improve their library services, and adapt to the changing needs of their patrons. The integration of Artificial Intelligence (AI) offers substantial opportunities to achieve these objectives. This chapter examines the transition from traditional metadata practices to the incorporation of Machine Learning technologies in library cataloguing systems. It specifically assesses the preparedness of library professionals in Assam to adopt intelligent cataloguing systems, focusing on their understanding of metadata, familiarity with machine learning algorithms, and their perceived challenges. Data gathered from ten different institutions provides valuable insights into the current state of readiness among library professionals and identifies key areas for improvement. This study emphasizes the importance of equipping library staff with the necessary skills and knowledge to successfully implement intelligent cataloguing systems, thereby improving the overall efficiency and effectiveness of library services.