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Sessions

Scaling GenAI: Building an Enterprise Knowledge Foundation to Last

Monday, November 17: 9:00 a.m. - 12:00 p.m.

The pilot worked. Now what? Many organizations have succeeded in building GenAI prototypes. But when it comes time to scale from a chatbot that works in one department to an assistant that spans the enterprise, they hit a wall. Why? Because scalable GenAI depends not just on models, but on content infrastructure, governance, and cross-functional alignment. This 3-hour workshop focuses on the architectural, organizational, and operational challenges of scaling AI-powered knowledge systems. Through frameworks, real-world examples, and hands-on exercises, this workshop explores what it takes to go from content chaos to coordinated delivery. Learn how to design content models that flex across departments and use cases, operationalize taxonomy, and metadata at scale without overwhelming teams; create governance structures that support AI enrichment and iteration; identify and address blockers to enterprise-wide RAG; and communicate the business case for KM as an AI accelerator. Whether you're expanding a chatbot, building a virtual assistant, or preparing enterprise content for broader AI integration, this workshop offers a practical, cross-functional blueprint to make your AI efforts sustainable and strategic. Because if your AI can’t grow with your business, it’s just another pilot.

 

Taxonomies Driving Next-Generation KM, (Taxonomy Bootcamp Session)

Thursday, November 20: 2:00 p.m. - 2:45 p.m.

Your enterprise PDFs are actively sabotaging your GenAI initiatives. Anyone who's tried to extract meaningful data from complex technical documents knows the frustration. What appears organized to humans becomes "document debris" when processed by language models, rendering critical tables, diagrams, and structured information incomprehensible. This session explores why treating documents as static files, rather than structured information assets, creates "PDF purgatory" that undermines AI accuracy and business value. Moving beyond the common misconception that OCR and more sophisticated GenAI tools will solve content ingestion challenges, this session explores how information architecture principles and strategic content preparation can transform your most challenging documents into AI-ready knowledge components that deliver the business intelligence your organization needs.

B103 Building AI That Actually Works with Enterprise Chaos

Tuesday, November 18: 1:45 p.m. - 2:30 p.m.

Enterprise content isn't uniform—it's multimodal, messy, and inconsistently organized across documents, visual assets, databases, and institutional knowledge. This session demonstrates why successful enterprise AI requires an orchestrated multimodal architecture and how to build a strategy based on an information architecture foundation. Discover when to deploy specialized models for different content types, how to handle image chunks and embedded diagnostics differently than structured text, and why using one LLM for enrichment, another for reasoning, and a third for delivery creates more reliable results. Earley shares implementation patterns that future-proof your architecture in a rapidly evolving LLM landscape, providing a systematic approach beyond simply picking a technology first.

A201: Improving Field Service with Information Architecture-Directed RAG

Wednesday, November 19: 10:45 a.m. - 11:30 a.m.

Service technicians don’t need another portal. They need answers. Fast. Speakers share how they turned an extensive, uncurated, difficult-to-access set of service manuals, schematics, and tribal knowledge into an AI-powered assistant that delivers trustworthy, real-time answers at the point of service, right when they need it. They show how knowledge architecture, smart enrichment, and a purpose-built RAG system helped W&B reclaim technician hours and improve uptime, knowledge access, and technician efficiency. Get a blueprint and the business case for fixing and enhancing knowledge access in the field or the office.

 

The GenAI Content Crisis: How IA Transforms Document Debris into Business Intelligence

Monday, November 17: 3:15 p.m. - 4:15 p.m.

Semantic technologies are transforming how organizations connect people to knowledge, illuminate expertise, and fuel digital transformation. Hear two case studies where taxonomy and knowledge graphs act as the backbone of smarter knowledge management. Blumer provides a methodology for evolving enterprise search from text-based to graph-powered discovery, demonstrating through case studies how knowledge graphs enable users to find not just documents, but recommendations, expertise, hidden connections, and emerging patterns across the organization. Bearden & Roth show how at Amgen, the Enterprise Web of Knowledge integrates siloed information to reveal hidden insights across products, clinical studies, and people. Two flagship tools demonstrate how lightweight, semantic-powered interfaces can accelerate learning and improve decision making across a complex biotech enterprise.

 

Keynote: Moving Forward with Knowledge, Data and AI: Insights & Action

Thursday, November 20: 4:00 p.m. - 4:15 p.m.

With all of the valuable insights from the conference, it can be challenging to identify where to begin and how to focus resources and attention. How do you bring key messages back to colleagues, teams, and leadership? A longtime KMer, Earley highlights ways to process and apply what you have learned and identify the best way to bring concepts to reality. He considers all the conference themes—search, discovery, taxonomy, information architecture, knowledge sharing, text processing—and how AI cuts across each of these. Get a simple framework for building a road map by discovering user needs, connecting findings to overarching themes, and then identifying the needed capabilities to address user needs, regardless of the tools, technologies, or approaches.