Episode

Enterprise Wide Search 31: Ashleigh Faith - Making AI Understand What It Says

Podcast
Enterprise Wide Search
Published
Apr 17, 2026
Duration seconds
1712
Processing state
not_requested
Canonical source
https://podcast.actian.com//enterprise-wide-search-31-ashleigh-faith-making-ai-understand-what-it-says
Audio
https://audio.ausha.co/YKZY0TvdVx7g.mp3?t=1776095894
JSON
/v1/public/podcasts/enterprise-wide-search-7039824/episodes/enterprise-wide-search-31-ashleigh-faith-making-ai-understand-what-it-says
Markdown
/podcast/enterprise-wide-search-7039824/enterprise-wide-search-31-ashleigh-faith-making-ai-understand-what-it-says.md

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Summary

In this episode, co-hosts Emma McGrattan and Ole Olesen-Bagneux sit down with Ashleigh Faith, Director of AI and Semantic Innovation at EBSCO and creator of the IsA DataThing YouTube channel, to explore why knowledge graphs and ontologies are becoming essential in the age of AI. From her early days as a taxonomist to her role as a leading voice in semantic technologies, Ashleigh explains why structuring meaning—not just data—is what makes AI outputs trustworthy and usable. Together, they discuss: Why knowledge graphs are critical to making AI outputs more reliable and verifiable The most common mistakes teams make when building ontologies, and how to avoid them Why starting with use cases (not tools) is key to successful semantic models How AI can assist, but not replace, human understanding in ontology design The future of graph architectures, from large centralized graphs to domain-specific, contextual models 🎧 Tune in for a conversation on semantics, knowledge graphs, and why making AI smarter starts with making data more meaningful. Hosted on Ausha. See ausha.co/privacy-policy for more information.