Amber Swope is an internationally recognized expert on the Darwin Information Typing Architecture (DITA) and information architect. With over 20 years of experience in the information development field and 15 years of DITA expertise, Amber specializes in helping organizations create opportunity through information architecture. She not only helps teams build scalable IA solutions to future-enable their content, but also mentors team members to advance the architecture as it evolves to meet new business needs.

Navigating AI: Real Tales from Content Frontiers (A Case Study)

Co-presented with: Lief Erickson and Joe Gregory-DeBernardi

At the beginning of 2023, Amber Swope, Lief Erickson, and Joe Gregory-DeBernardi embarked on a mission to integrate AI into our information architecture and content strategy work. Distracted by the shiny newness of ChatGPT and the like, we jumped into the fray without thinking much about what it all meant. A year and a half later, we’ve revised our process and narrowed our approach. Our goal is to understand how knowledge graphs can support LLMs, and then to leverage that knowledge into content solutions. In this session, we’ll share our findings and discuss our first case study.
Are you tired of stories about curated, perfect AI projects? Come hear the real story (flaws included) from content professionals who are deep in it.

In this workshop, you will learn how to:

• How small- and medium- sized content teams can integrate knowledge graphs and AI
• Why content professionals are uniquely positioned to understand that structured content is crucial to the future of AI
• How to kick-start your internal AI initiative
• Practical guidance around structured content for teams just getting into AI