2 participants: 5% Group Discount
3 to 5 participants: 10% Group Discount
6 or more participants: 15% Group Discount
Group discount applies for payment one week prior to the training date
(Available also for customised Training by Duration, Venue & Fee)
Theme: Integration of Artificial Intelligence and Automation
in E-Library Services
Conference Overview:
This
course explores the transformative impact of Artificial Intelligence (AI) and
automation on modern e-library services. It provides an in-depth understanding
of how AI tools and automated systems are being integrated into digital library
operations to enhance efficiency, accessibility, user experience, and data
management. Participants will examine emerging technologies, practical
applications, and the ethical implications of AI in digital knowledge
repositories.
Course Objectives
By
the end of this course, participants will be able to:
1.Understand the fundamentals of AI and
automation as they relate to e-library systems.
2.Analyze the benefits and challenges of
integrating AI in library service delivery.
3.Identify key technologies transforming
cataloging, search, user interaction, and content management.
4.Explore real-world case studies and models of
AI-driven e-library platforms.
5.Develop strategies for implementing AI and
automation within their own library or institutional context.
Course Outline
1.Introduction to AI and Automation in Library
Science
oDefinitions,
evolution, and current trends in digital libraries.
oThe role
of AI in transforming library services.
2.AI Applications in E-Library Services
oNatural
language processing, recommendation systems, and predictive analytics.
oAI for
metadata generation, automated cataloging, and smart search.
3.Automation in Library Operations
oAutomated
circulation systems, chatbots, and user support.
oWorkflow
automation and system integration.
4.Ethical, Legal, and Data Privacy
Considerations
oIntellectual
property, algorithmic bias, and user consent.
oData
governance and security in AI-powered environments.
5.Implementation Strategies and Case Studies
oInstitutional
readiness and infrastructural requirements.
oCase
studies from academic, public, and special libraries.
For Whom
This
course is designed for:
·Library
and information science professionals.
·Digital
librarians and IT personnel in academic institutions.
·Policy
makers and administrators in educational and cultural institutions.
·Graduate
students in library science and information systems.
·Anyone
interested in the future of digital libraries and AI integration.
ACCOMMODATION:
This conference is non-residential. Participants are to lodge in hotels of their choice near the Training centre. A list of these Hotels will be provided on request.
Vote of thanks during 10th Annual E-library Management Conference
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