From Documents to Knowledge: Engineering Content for AI Retrieval

 

WEBINAR, APRIL 22, 1PM ET|10AM PT

Human readers bring years of experience to bear when interpreting documentation. A technician looking at a scanned PDF can interpret ambiguous phrasing, resolve conflicting statements, ignore outdated screenshots, or infer missing steps. AI systems cannot do this. They require explicit meaning and consistent structure.

This session examines knowledge engineering: the transformation of human-oriented content into structured, precise, machine-interpretable knowledge. Knowledge engineering closes the gap between what humans understand intuitively and what AI systems need explicitly. It creates retrieval-ready content that reflects authoritative meaning, domain logic, applicability restrictions, version control, constraints, and expert-level distinctions.

Participants will learn how to decompose procedures into atomic components, capture SME tacit knowledge, structure diagnostic logic, and prepare content for safe RAG retrieval. The session introduces Earley's IAD-RAG methodology and the role of VIA in accelerating knowledge transformation.

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 raw documents fail AI: ambiguity, inconsistency, and missing context
  • The knowledge engineering process: from prose to structured components
  • SME knowledge capture: Transforming tacit expertise into AI-ready knowledge
  • Componentization: steps, hazards, warnings, measurements, exceptions, variants
  • IAD-RAG: Information Architecture-Directed Retrieval Augmented Generation
  • How VIA accelerates knowledge transformation at enterprise scale

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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.