Podcasts

Jessica Talisman explores the tangible realities of AI’s role in reshaping business practices. Learn why clean data, semantic structuring, and evolving organizational roles are critical to unlocking AI’s potential—and why outdated processes often hinder progress.

Jessica has done a lot of education and outreach around her semantic and and information architecture practices. One of the most important lessons she's learned is the crucial role of standards like the W3C SKOS model to bring structure and semantics to information and knowledge systems.  Since there are never enough information architects in any organization, she supports the democratization of IA practices, but she's also quick to highlight the unique skills that you can only get with deep study.

Today we have Jessica Talisman with us, who is working as an Information Architect at Adobe. She is (in my opinion) the expert on taxonomies and ontologies. That’s what you will learn today in this episode of How AI Is Built. Taxonomies, ontologies, knowledge graphs. Everyone is talking about them no-one knows how to build them. But before we look into that, what are they good for in search? Imagine a large corpus of academic papers. So we are building the plumbing, the necessary infrastructure for tagging, categorization, query expansion and relaxation, filtering.

Essential nature of information architecture and AI with Jessica Talisman.

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. 

Join Jessica Talisman, as she sheds light on how Amazon leverages data, how information architecture shapes the company's data landscape, and the pivotal role humans play in AI applications.

A world without AI? Unimaginable. And that's why - so is a world without information architecture, according to Jessica Talisman, information architect at Amazon. Information architecture extends beyond browse menus and UX/UI. We talk about why.

In a BONUS episode of The AI Digest Podcast, we get the absolute joy of learning from an expert information architect as to how organizations benefit from properly developing robust knowledge management systems.  Join us as our host, Joaquin Melara, speaks with Jessica Talisman, Information Architect at Amazon. This episode grants insight into how to build a system that helps real people. There is a real need for information to be tracked through any number of interactions between the context of its “housing” and the agents that engage with that information. Lastly, the digital world must take into account the complexities of both the physical world of people and the digital world of machines.

Why do we race to implement trending solutions without intimate knowledge of the state of the data? Jessica Talisman (Senior Taxonomist and Information Architect) joins to show to chat about data hubris, dirty data, and much more.

Part I: Today we talk about turning data into knowledge at scale, and about the arduous job of cleaning, defining, collapsing and expanding information and knowledge in the enterprise. My guest today is Jessica Talisman senior Taxonomist at Pluralsight.

his is part two of turning data into knowledge at scale, and about the arduous job of cleaning, defining, collapsing and expanding information and knowledge in the enterprise. My guest today is Jessica Talisman senior Taxonomist at Pluralsight.