Using Multilingual Taxonomies to Drive Agentic AI
Member Webinar
In this presentation we explores how semantically enriched multilingual taxonomies can be integrated into agentic AI workflows to accelerate time to market in regulated industries—without compromising quality or compliance. A pharma use case illustrates how tech
transfer timelines, typically 6–9 months, were significantly reduced by embedding semantically enriched taxonomies into an AI-driven localization pipeline.
The approach combines automation with expert oversight, enabling accurate, context-aware LLM translation output.
Key takeaways include how buyers can harness semantic and agentic AI to speed up localization while maintaining compliance, and how providers can transform linguistic assets into scalable taxonomies that improve translation accuracy and governance.
Who should attend
- Providers of localization services interested in exploring how semantically enriched taxonomies help make LLM translation output more accurate and context aware.
- Buyers of localization services interested in accelerating time to market through taxonomy-led agentic AI workflows.
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MEMBER TICKET
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FREE |
Sinead Healy is the Language Solutions Director at Altuent, with over 25 years of experience in the translation and localization industry. She leads a team that helps global clients implement tailored localization strategies to:
- Expand into new markets
- Reduce time to market
- Introduce operational efficiencies through AI
Her mission is to ensure that all end users enjoy a consistent experience regardless of language or location. She has a strong interest in semantic AI and its potential to integrate localization into the full content development lifecycle. Sinead has also contributed to industry publications and lectured at universities in Ireland, the UK, and Austria.
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