What Can Localization Learn from the CMS Industry?
Most organizations approaching AI for content or localization are focused on the wrong question. They're asking how to reduce effort — and missing the more important question of where value goes once effort is no longer the measure. This panel with CSA Research, The Content Wrangler, and RWS examines that shift and what it requires of content architects, localization professionals, and the decision-makers they report to.
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.
What Makes Intelligent Content Indispensable? An Expert-led Roundtable Discussion
Intelligent content is content that can have a life of its own — designed to be delivered across contexts and to perform as designed when it gets there. In this roundtable from PoolParty Summit 2024, I joined five colleagues from the Content Component Alliance to work through what that actually requires. The conversation covers framework, metadata, terminology, knowledge graphs, and why most organizations building AI tools right now are solving the wrong problem.
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.