There Is No AI Without IA: Information Architecture as the Semantic Foundation

 

WEBINAR, APRIL 1, 1PM ET|10AM PT

LLMs do not understand your domain. They do not know what your terminology means, how your concepts relate, which rules apply in which contexts, or what distinguishes one product variant from another. AI retrieves content based on linguistic similarity, not semantic understanding. This fundamental limitation explains why most enterprise RAG implementations produce inconsistent, irrelevant, or unsafe results.

This session examines how information architecture provides the semantic foundation that enables accurate, safe, and predictable AI retrieval. IA defines the structure of meaning: the terminology, metadata, relationships, applicability logic, and boundaries that determine how content is interpreted. When IA is strong, AI operates within the correct semantic landscape. When IA is missing, retrieval becomes unpredictable.

Participants will learn how taxonomy, ontology, and metadata models work together to create shared context across the enterprise. The session explores Earley's methodology for building IA for AI, including domain modeling, concept definition, vocabulary normalization, and applicability mapping.

This webinar is part of Earley’s 7-part AI Readiness Webinar Series. View the full series overview →

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Key Topics

 

  • Why LLMs cannot interpret meaning without explicit structure
  • The core components of IA for AI: taxonomy, metadata models, and ontology
  • Applicability logic: Ensuring AI retrieves only what applies to a given context
  • Vocabulary normalization: Eliminating terminology drift
  • Relationship mapping: Making implicit domain logic explicit
  • How IA provides the blueprint for knowledge engineering

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Seth-Earley-CEO-Earley-Information-Science

Meet The Speaker

Seth Earley

CEO & Founder
Earley Information Science

An expert with 20+ years experience in Knowledge Strategy, Data and Information Architecture, Search-based Applications and Information Findability solutions.

Seth has worked with a diverse roster of Fortune 1000 companies helping them to achieve higher levels of operating performance by making information more findable, usable and valuable through integrated enterprise architectures supporting analytics, e-commerce and customer experience applications.

thomasblumer

Meet The Speaker

Thomas Blumer

Project Manager & Principal KM/AI/DAP Consultant
Earley Information Science

With over two decades of knowledge management (KM) experience, Thomas has been instrumental in integrating KM practices into Fortune 500 companies and spearheading transformation within software companies through the adoption of disruptive technologies such as Artificial Intelligence (AI) and Digital Adoption Platforms (DAP). Thomas's approach is characterized by a readiness to embrace challenges and a commitment to elevate businesses to their next level. His strategic vision and innovative methodologies have consistently delivered enhanced efficiency, productivity, and competitive advantage.

 

heather-eisenbraun-headshot

Meet The Speaker

Heather Eisenbraun

Chief Information Architect
Earley Information Science

With a remarkable track record spanning over two decades, Heather has transformed information retrieval accuracy by as much as 70% and slashed content search times by 60% for Fortune 500 companies, all through the clever application of strategic taxonomies, metadata schemas, and modular RAG implementations.

A Certified Knowledge Specialist in Business Taxonomy & Ontology, Heather is passionate about reimagining how organizations prepare content for success in the GenAI landscape—shifting the focus from traditional OCR to evolving documents into structured information resources. With her depth of expertise and visionary approach, Heather inspires audiences to rethink the future of enterprise knowledge management.