From Surveys to Strategy: AI-Enhanced Framework for Multilingual Quality Management

Track: Multilingual AI | AI1 |   Intermediate |
Wednesday, October 15, 2025, 9:00am – 9:30am
Held in: Steinbeck 1
Presenters:
John N. Just - KnowBe4 
Priscila Mottola - KnowBe4
Host: Katell Jentreau

This presentation showcases a data-driven language quality framework that leverages AI to gather conclusive insights from user survey responses. By leveraging multilingual sentiment analysis and weighted parameters applied to user ratings, the framework transforms raw data into actionable intelligence. This approach addresses the increasing demand for data-driven localization initiatives in today’s rapidly evolving global marketplace, aligning with the trend of integrating language operations into core business strategies. Attendees will learn to leverage AI for enhanced data solutions and multilingual applications, ultimately improving localization quality and customer satisfaction.

Key Takeaways:

Implementation of AI-driven sentiment analysis: Learn how to apply multilingual sentiment analysis to user survey data, enhancing the accuracy and depth of language quality assessments; data transformation techniques: Understand how to convert raw survey responses into actionable intelligence using weighted parameters, making localization decisions more data-driven and effective; integration of language operations: Gain insights on aligning localization initiatives with core business strategies, leveraging AI and data solutions to improve overall localization quality and customer satisfaction.