Machine Learning is Coming for Your Taxonomy

*This post is based on a talk given by Bob Kasenchak at the 2023 Information Architecture Conference. It was a detailed 20-minute presentation designed for IA practitioners. Our goal with this post, however, is to distill it down to its foundational thesis and invite a discussion about the important differentiation between Subject and Topic Taxonomies. Why? Let’s explore is-ness and i-verse-ness. First, we have a central conflict in taxonomy: how to organize information that accurately represents your enterprise’s world – domain, business context, etc.