Description

In this podcast episode, host Ole Olesen-Bagneux welcomes Jessica Talisman, a senior information architect at Adobe, who shares her vast experience across various IT domains and her unique perspective combining library information science with modern data architecture.

Throughout their conversation, Jessica highlights the potential of knowledge graphs to add depth and context to data, making a case for their integration into AI and IT systems based on principles she adapted from her past as a librarian. She further explores how traditional library sciences, especially models like FRBR and MARC, can influence modern data management practices and help maintain data provenance and rights management in AI applications.

Ole and Jessica delve into the challenges and advancements within the data community regarding the understanding and application of taxonomies and ontologies. They discuss how these can act as a business's 'fingerprint' in the AI landscape, emphasizing the necessity for curated and domain-specific data architectures to enhance business representation and functionality in technological settings.

🎧 Tune into this enlightening episode to hear Jessica Talisman articulate the convergence of library information science and data architecture, her insights on fostering a more structured and ethical approach to data in the tech world, and the ongoing evolution of data understanding in the community.

Bonus ⭐

▶️  Watch the episode (video) on Youtube

📖  Download our ebook "The Practical Guide to Data Mesh"

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