Problem: Manually assigning tags to books

With many library management systems, librarians must manually tag books with additional specific search terms to facilitate searches. This method presents several challenges:

This process creates inefficiencies and makes it difficult for students to find the information they need quickly – or maybe not even find it at all.

Solution: AI Metadata Editor and AI Metadata Search Assistant

Concord Infiniti harnesses the power of machine learning to revolutionise how librarians categorise books without tagging.

Instead of relying on manually inputting tags or search terms for every book, Infiniti can be taught to automatically “associate” book metadata under broader subjects and intelligently link them to relevant search terms. For example:

Key advantages of Infiniti’s AI system include:

Infiniti AI eliminates the need for tedious and constant manual updates, making it easier to manage large and growing collections.

What it means for librarians and students

For librarians, Infiniti AI reduces the manual effort needed to categorise books with tags.

For students, the benefits of Infiniti AI are even more significant.

Choose Concord Infiniti

In a digital educational landscape, Concord Infiniti’s AI Metadata Editor and AI Metadata Search Assistant transform how school libraries manage their collections and deliver better search results.

By automating the “association” process and creating an intuitive, smart search experience, Infiniti allows librarians to work more efficiently and ensures that students can find the resources they need with minimal frustration.

Book a demo with the experts from Concord to see how you can streamline tagging and search metadata in your library.