Tuesday, October 29, 2024

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

 Amber Swope and Joe Gregory-DeBernardi of DITA Strategies and Lief Erickson of Intuitive Stack began to explain why content professionals are important for AI roles. 

AI project roles include a technical lead, an ontologist/taxonomist, and SME, a content pro, a project manager, a prompt engineer, and a business champion. Other team roles might vary. 

AI needs content pros who know the content set, understand content structure, know the audience, and can work with metadata. 

You are not a professional communicator and not curious. That kind of curiosity and research feedback is what's going to train your AI solution to be more useful.

What are being evaluating in AI projects? PDFs? PDFs don't have semantic data. Better to find the original source content. 

AI projects are more about content that technology. When you define success, you not only define the goal, but your tolerance for failure. AI won't replace your writing tram, but they may need to adapt. Generative AI requires high-quality data. Is your content ready? 

Writers' jobs are safe for a good long time.

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