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Practical AI for Alma: Adapting to Change by Building Python Tools Without a Coding Background

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Session Information

Libraries are increasingly expected to adapt to emerging technologies, even when staff have limited technical backgrounds. This session presents a practical case study of how a metadata librarian with no prior coding experience developed NLM's Metadata Toolkit, a suite of Python based tools that extend Alma workflows by automating local bibliographic and authority validation and targeted metadata updates through the Alma API. Attendees will learn how easy it is to connect to their own Alma API and begin experimenting with automation. Rather than focusing on opaque or experimental AI systems, this presentation emphasizes transparent, maintainable tools built with AI assisted development and a strong human in the loop approach. All code demonstrated will be available in a public GitHub repository and, in many cases, can be adapted locally by supplying an institution's own Alma API key.

Practical AI for Alma
Alma
Attendees will learn how to connect to their own Alma API and explore bibliographic and authority data programmatically.
Attendees will understand how to apply Python scripts to automate metadata validation and targeted updates in Alma workflows.
Attendees will discover strategies for adapting shared code from a public GitHub repository to their local Alma environment.
Apr 30, 2026 09:00 AM - 09:45 AM(America/Los_Angeles)
Venue : San Gabriel A,B,C
20260430T0900 20260430T0945 America/Los_Angeles Practical AI for Alma: Adapting to Change by Building Python Tools Without a Coding Background

Libraries are increasingly expected to adapt to emerging technologies, even when staff have limited technical backgrounds. This session presents a practical case study of how a metadata librarian with no prior coding experience developed NLM's Metadata Toolkit, a suite of Python based tools that extend Alma workflows by automating local bibliographic and authority validation and targeted metadata updates through the Alma API. Attendees will learn how easy it is to connect to their own Alma API and begin experimenting with automation. Rather than focusing on opaque or experimental AI systems, this presentation emphasizes transparent, maintainable tools built with AI assisted development and a strong human in the loop approach. All code demonstrated will be available in a public GitHub repository and, in many cases, can be adapted locally by supplying an institution's own Alma API key.

San Gabriel A,B,C Ex Libris Knowledge Days and ELUNA Conference 2026 eluna-conf-planning@exlibrisusers.org
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Senior Serials Specialist
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National Library Of Medicine
Senior Librarian, Acquisitions and Collection Management
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Thomas Jefferson University
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