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How Academic AI is Redefining Discovery

Join your colleagues in this live discussion and hear directly from Michael Gonzalez (University of Technology Sydney) and Sue Stevens (Cardiff University) who will share how their...
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Alma Analytics for RapidILL users (2025 Roadmap Webinar Seri...

A new analytics dashboard and extensive set of corresponding reports has been developed in coordination with the input and cooperation of the RapidILL user community. The new repor...
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XSL Normalization Rules and Processes for Metadata Records

XSL normalization of metadata records is now supported, enabling both manual and batch processing. Institutions can use XSL to manipulate metadata across all MARC-supported formats...
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Primo Next Discovery Experience (NDE) (Part of the 2025 Road...

The Next Discovery Experience (NDE) vision for the coming years is set to enhance the way academic research is conducted, ushering in a new era of research efficiency and insight.
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Linked Data Enrichment (Part of the 2025 Roadmap Webinar Ser...

During this session we will show the ability to enrich records with Linked Data both "On the fly" and "Permanently".
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New Alma Authority Records Matching and Linking in the Aug. ...

The Partial Linking capability improves the matching of MARC21 name/title fields by allowing selective subfield linking. It systematically compares the full bibliographic heading w...
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Linked Data Developments in 2025 (Part of the 2025 Roadmap W...

During this session we will show several recent developments related to Linked Data for Alma and Primo
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Primo VE Mixpanel User Engagement Analytics

Mixpanel is a new Analytics platform for understanding how users behave within the Primo VE user interface and will be released as part of the "Next Discovery Experience" (NDE).
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What’s New with Primo – Q1 2025

This webinar will provide valuable insights into the latest features and enhancements in Primo and Primo VE which are planned to be released as part of February release.
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The AI Metadata Assistant in the Metadata Editor

The AI Metadata Assistant uses a Large Language Model generative AI to process information about a library resource, and suggest relevant metadata to the cataloger to help make the...