Harald is General Manager of the NINEFEB Group of companies, dedicated to the advancement of Technical Communication, like Technical Documentation as well as eLearning to the intelligent delivery of it. He is actively engaged in developing iiRDS further as well as contributing to the AAS (Asset Administration Shell) submodels of the IDTA (Industrial Digital Twin Association).
The Role of Structured Content and DITA in Agentic AI & RAG
Panel Discussion Featuring:
Dawn Stevens, President, Comtech Services (moderator)
Alvin Reyes, Customer Engagement Manager, RWS
Noz Urbina, Omnichannel Strategist, Urbina Consulting
Colleen Jones, President, Content Science
Rob Hanna, CEO and Co-founder, Precision Content
Lief Erickson, Principal Content Strategist, Intuitive Stack
Harald Stadlbauer, General Manager, NINEFEB GmbH
Spotlight: How the Component Content Alliance (CCA) is Shaping the Future of AI-driven Content
The Component Content Alliance (CCA) unites industry leaders to explore how structured content, DITA, and metadata enable Agentic AI and next-gen Retrieval-Augmented Generation (RAG). Unlike traditional RAG, Agentic RAG allows AI agents to make decisions, interact with data, and generate more contextually accurate responses. To be business-ready, AI needs structured, reusable, and semantically rich content.
Why Attend?
- Learn how structured content improves AI-driven retrieval.
- Discover how DITA and metadata enhance GenAI performance.
- Avoid AI hallucinations and improve trust in AI-generated content.
- See how structured content cuts localization costs and accelerates publishing.
- Hear from CCA experts on the best practices and pitfalls.
If you work in AI, content strategy, or localization this session will provide actionable insights on making your content AI-ready.e.
In this panel discussion attendees will learn:
- How structured content fuels AI – The impact of metadata, tagging, and information architecture on retrieval accuracy.
- DITA & AI: A perfect match? – Why component-based content (DITA) enhances AI-driven applications.
- AI & enterprise content ops – Challenges and strategies for scaling structured content with AI.
- Real-world implementations – Case studies on AI-driven automation and content workflows.
