AI

AI is here to stay – and structured content is key to making it work

Last week, I attended the 47th annual meeting of the Society for Scholarly Publishing (SSP) in Baltimore. As always, it was a great opportunity to reconnect with familiar faces, meet new voices in the field, and get a sense of where scholarly publishing is heading. One thing became abundantly clear across the three days: AI […]

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From chaos to clarity: why structured content is the key to responsible AI in scholarly publishing

The past year has seen an explosion of interest in generative AI across scholarly publishing. Editorial teams, product leads, and technology partners are racing to test AI-driven tools for peer review, metadata enrichment, classification, and chatbots. But with this innovation has come fragmentation: disconnected pilots, brittle scripts, and inconsistent results. In his recent talk at

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Collaboration on business challenges and innovations with regulatory documentation 

On March 17, RWS hosted the Q Innovation Workshop in Basel, Switzerland, bringing together pharmaceutical industry leaders from around the world to collaborate on innovation and business challenges in the clinical and regulatory landscape. The interactive event provided a forum for in-depth discussions on structured content authoring, data management, AI automation, localization, and the future

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Feeding AI models with structured content: the power of XML 

Yesterday, at the Frankfurter Buchmesse, I had the pleasure of delivering a presentation titled “Revolutionizing Publishing with AI and Structured Content: Unlocking the Power of XML.” During this talk, I explored how structured content serves as the essential foundation for feeding AI models, and why the old adage “garbage in, garbage out” is particularly true

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The importance of structured content in an AI-driven world

Discover the power of structured content in the realm of generative pre-trained transformers (GPT), the groundbreaking technology revolutionizing language models. In this article, we’ll focus on how structured content enhances the training process, leading to easier data processing, improved accuracy, and enriched contextual understanding. While unstructured content has its merits, we’ll explore why a balanced

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