Contents
As organizations accelerate their adoption of AI assistants, RAG systems, knowledge graphs, and intelligent delivery portals, one truth has become clear: content quality—not model quality—is now the greatest barrier to successful AI adoption. Traditional DITA deployments provide structural consistency, but without strong metadata governance and microcontent standards, organizations continue to struggle with findability, reuse, and AI accuracy. This session introduces the updated 2026 version of The Content Triforce, a framework that unites DITA (structure), iiRDS metadata (description), and microcontent (focus) to create content that is optimized for both human- and machine-consumption.
Takeaways
Attendees will learn
- the importance of semantic markup for AI
- how content precision impacts human and machine performance, and
- how metadata ties content together while allowing for more flexible, just-in-time delivery.
Prior knowledge
Some knowledge of DITA/XML and iiRDS would be helpful. Some familiarity with generative AI terms and concepts.