Abstract
The integration of AI and the Internet of Things (IoT) within academic libraries is transforming how students, educators, and researchers discover and use information. This document explores various applications of AI and IoT in library settings and examines their impact on research and educational processes. Notable innovations include intelligent search functionalities, customized recommendations, automated cataloging systems, digital monitoring of library resources, and intelligent environments that enhance user experiences. The analysis emphasizes how these technologies assist more efficient information retrieval, simplify library operations, and support data-driven decision-making. Besides, it addresses challenges associated with adopting these technologies, such as privacy concerns, digital literacy gaps, and infrastructure requirements. Through the examination of real-world examples and contemporary practices, this paper aims to outline strategies for effective deployment of AI and IoT in academic libraries, emphasizing their potential to promote more efficient, personalized, and engaging research and learning environments.
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