{"id":11493,"date":"2026-09-18T14:32:31","date_gmt":"2026-09-18T12:32:31","guid":{"rendered":"https:\/\/kaleidoscope.at\/?post_type=webinars&p=11493"},"modified":"2026-09-18T15:47:14","modified_gmt":"2026-09-18T13:47:14","slug":"optimizing-terminology-data-for-reliable-ai","status":"publish","type":"webinars","link":"https:\/\/kaleidoscope.at\/en\/webinars\/optimizing-terminology-data-for-reliable-ai\/","title":{"rendered":"Beyond the Glossary: Optimizing Terminology Data for Reliable AI"},"content":{"rendered":"\n
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Terminology data is one of the most powerful guardrails to keep AI-generated content on-brand and factually sound, just as it has been guiding human-generated content quality for decades. The game-changing opportunity for terminology data is to inject not only corporate brand language, but also contextual knowledge into AI output, increasing the value terminology management brings to the entire company.<\/p>\n<\/div>\n\n\n\n

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We call this approach Terminology-Augmented Generation, based on the more commonly known Retrieval-Augmented Generation. However, terminology resources have often not been maintained optimally or have simply not been optimized for large language models, limiting their potential.

Join terminology veterans Barbara Inge Karsch<\/strong> and Kara Warburton<\/strong> as they tackle the uncomfortable truth about legacy terminology assets and what it takes to get them into AI-ready shape. Together with Klaus Fleischmann as a moderator, they will explore proven methods to bridge the quality gap, investigate how AI can also help in terminology work, and share hard-won, real-life experiences from the terminology trenches.<\/p>\n\n\n\n

 \ud83d\udcc5 October 7, 2026 - 17:00 CET<\/h2>\n<\/div><\/div>\n\n\n\n
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Sign up now for free<\/h2>\n\n\n\n
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