From big data to intelligent libraries: Leveraging analytics for enhanced user experiences

Abstract

This paper explores the transformative impact of Artificial Intelligence (AI) and Machine Learning (ML) on libraries, evolving them into intelligent, user-centric hubs. Integrating cutting-edge technologies enhances library functions, automating tasks, and personalizing user interactions. The discussion encompasses AI applications in cataloging, search functionality, and personalized recommendations, emphasizing the role of intelligent libraries in improving user experience. While highlighting benefits like task automation and improved efficiency, challenges such as resource investment, job displacement, and ethical considerations are acknowledged. Looking ahead, the paper anticipates deeper AI and ML integration, emphasizing trends like IoT, big data analytics, and augmented reality. The conclusion underscores the need for responsible implementation, balancing technological advancements with ethical considerations, and positioning intelligent libraries as crucial assets in the digital age.