AI at the Core of Smart Localization: Balancing Speed, Cost, and Quality
- Presentation
- 24. September
- 11:10 - 11:50 AM (CEST)
-
Christian Terwiel
- LanguageWire
Contents
This presentation explores how AI technologies are transforming the localization landscape, moving from cost-cutting experiments to essential drivers of quality, speed, and scalability. We’ll unpack how Machine Translation Quality Estimation (MTQE), AI-driven post-editing (APE) and the emerging potential of Agentic AI are helping organizations strike the elusive balance between speed, cost, and quality, enabling them to meet growing content demands without compromising linguistic integrity.
Takeaways
• Understand the evolving role of AI in localization: from basic MT to predictive quality and beyond.
• Learn how MTQE enables selective post-editing, ensuring quality while reducing effort and costs.
• Discover the power of AI-driven post-editing to automate error correction while preserving brand tone of voice.
• Gain insights into how Agentic AI is shaping the future of smart localization by enabling interactive, adaptive, and context-aware processes.
• Learn how to build trust in AI-assisted localization through transparency and collaboration.
Prior knowledge
A general understanding of localization workflows and an interest in technology trends in content delivery. No deep technical expertise required, but familiarity with machine translation concepts is a plus.