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Sunday, 18 January 2026

AI in Library Administration & Operations: Smart Management for Modern Libraries


 


By Niranjan Mohapatra, World Skill Center
Series: AI Transformation in Libraries (Part 9 of 10)


AI is reshaping not only user services but also backend library operations, enabling efficient administration, improved resource allocation, and data-driven decision-making.

 

1. AI for Library Space & Resource Management

Sensors, IoT devices, and AI analytics support:

  • Footfall tracking to monitor library usage
  • Heatmaps to identify crowded zones
  • Smart seating systems
  • Predictive space planning
  • Occupancy optimization

AI-driven dashboards help administrators redesign spaces based on user behavior.

 

Saturday, 17 January 2026

AI in Digital Libraries & Repositories: Automation, Metadata & Access

  


By Niranjan Mohapatra, World Skill Center
Series: AI Transformation in Libraries (Part 8 of 10)

Digital libraries are rapidly evolving from static repositories into intelligent, automated knowledge ecosystems. Artificial Intelligence (AI) is now at the heart of this transformation, powering smarter metadata creation, automated ingestion, content enrichment, and enhanced access for users.

 

1. Automating Metadata Creation

One of the most time-consuming tasks in digital libraries is descriptive cataloging. AI tools now offer advanced support:

  • Automatic metadata extraction from PDFs, images, videos, theses
  • Entity recognition for author names, institutions, keywords
  • Language identification and subject tagging
  • Metadata standard mapping (Dublin Core, MARC21, MODS)

AI tools used: GROBID, spaCy, Trankit, OpenAI embeddings, machine-learning metadata extractors.

 

Friday, 16 January 2026

AI for Research Support & Scholarly Communication


By Niranjan Mohapatra, World Skill Center
Series: AI Transformation in Libraries (Part 7 of 10)

 

1. Introduction

Artificial Intelligence (AI) has become an essential tool for modern research ecosystems. Libraries—long established as research support hubs—are now integrating AI to enhance discovery, analysis, writing, publishing, and scholarly communication workflows.
From literature reviews to citation management, AI-driven tools are transforming how researchers produce knowledge and how librarians extend their professional support.

 

2. How AI is Transforming Research Support in Libraries

A. Accelerating Literature Discovery & Reviews

AI tools help researchers quickly:

  • Identify key articles from enormous datasets
  • Extract important findings
  • Generate summaries of papers
  • Map research trends and gaps
  • Create conceptual frameworks

Tools like Elicit, ResearchRabbit, Scite, and Semantic Scholar use LLMs to refine search strategies, cluster citations, and visualize connections—dramatically reducing review time.

Thursday, 15 January 2026

Generative AI in Libraries: Opportunities, Use Cases & Limitations


 

By Niranjan Mohapatra, World Skill Center
Series: AI Transformation in Libraries (Part 6 of 10)

Introduction

Generative AI (GenAI) — represented by tools such as ChatGPT, Gemini, Claude, LLaMA, and open-source LLMs — is reshaping how information is discovered, created, and shared. Unlike traditional AI that analyzes existing data, Generative AI creates new content: text, summaries, translations, images, code, and more.

For libraries, GenAI represents both a huge opportunity and a critical responsibility. Libraries must leverage its benefits while ensuring ethical, transparent, and safe use.

 

Monday, 15 December 2025

AI for User Analytics & Personalized Library Services

 


By Niranjan Mohapatra, World Skill Center
Series: AI Transformation in Libraries (Part 5 of 10)


Introduction

Libraries today serve highly diverse user communities—students, researchers, professionals, and lifelong learners—each with distinct information needs and usage behaviors. Traditional “one-size-fits-all” services are no longer sufficient in an era of digital abundance and user-centric expectations.

Artificial Intelligence (AI) enables libraries to move from generic services to data-driven, personalized, and adaptive user experiences. Through user analytics, AI helps libraries understand how users interact with resources and design services that are more relevant, timely, and impactful.