Structured, Modular, Open: The DITA Promise, 20 Years Later
A chronological look at DITA's 20-year history — from early XML experiments to DITA 2.0's machine-interpretable knowledge model — told through the lens of one practitioner's career.
How Information Architecture Powers Self-Service Documentation
Good self-service documentation doesn't happen by accident — it starts with information architecture. Amber Swope and Lief Erickson explain how IA structures content that users can actually find and use on their own.
Content Matters: Unlocking the Power of Information Architecture
How do you scale your content strategy while preparing for AI? Amber Swope covers IA maturity models, DITA roles, and generative AI's impact on content architecture in this hour-long podcast conversation.
LavaCon 2024 — Navigating AI: Real Tales from Content Frontiers
A practitioner case study from LavaCon 2024 examining how content quality, semantic structure, archetype-informed prompting, and knowledge injection shape generative AI results.
Breaking Barriers: Content Pros as GenAI Pioneers
Most generative AI projects don't fail because the technology doesn't work — they fail because the content fed into the system isn't structured, scoped, or quality-controlled. In this panel, Lief Erickson, Fabrice Lacroix, and I discuss the patterns we've seen across real projects, including why "almost right" answers are more dangerous than obvious hallucinations. If you're a content professional trying to figure out where you fit in your organization's AI initiative, this conversation is for you.