Every User in Every Language: How to Balance Human and AI Effectively

Track: Multilingual AI | AI7 |   Intermediate |
Thursday, October 16, 2025, 1:30pm – 2:15pm
Held in: Steinbeck 1
Presenter:
Julie Mack - Uber
Host: Anne-Marie Colliander Lind

AI powered translations create opportunities to enable a wider user base, applying machine translation and large language models to specific content types for efficiency, or to whole languages based on business priority. In this session, the presenter will share how to enable a dynamic, data-driven translation workflow framework to allocate which users will receive human-in-the-loop translations and which will receive AI powered translations to optimize resources for the most business impactful languages per region.

Key Takeaways:

Business, user and quality metrics to consider when building a data based framework for managing workflow per content type, per language, and per region; data and tech foundations for success to support the workflow routing management of large volumes of content at scale for global and regional marketing and operations teams; how to approach translation quality management for AI powered translations and the roadmap to incremental quality to drive both time and cost efficiency.