000			01656nam a22001937a 4500
003			CUTN
005			20260217121009.0
008			260217b |||||||| |||| 00| 0 eng d
020			_a9789392594953
041			_aEnglish
082			_a025.002 _bDHA
100			_aDhanavandan, S.
245			_aArtificial intelligence for library management / _cS. Dhanavandan
260			_aNew Delhi : _bEss Ess Publications, _c2024.
300			_a320 p. : _bhb. ;
520			_aArtificial Intelligence (AI) is revolutionizing the way libraries manage their resources and operations. With AI-powered library management systems, librarians can streamline processes, enhance user experiences, and make data-driven decisions. These cutting-edge solutions leverage machine learning algorithms to automate tasks like cataloguing, indexing, and metadata generation, reducing manual effort and ensuring accuracy. AI-driven recommendation engines can suggest relevant books, articles, and digital resources to patrons based on their preferences and reading history, fostering engagement and knowledge discovery. Moreover, AI-enabled search functionalities provide intuitive and contextual information retrieval, empowering users to find what they need quickly and efficiently. By harnessing the power of AI, libraries can optimize space utilization, forecast demand, and allocate resources effectively, ensuring a seamless and enriching experience for patrons. As technology continues to evolve, AI in library management will play a pivotal role in transforming these institutions into dynamic, user-centric knowledge hubs.
650			_aLibrary Management
942			_2ddc _cBOOKS
999			_c49309 _d49309