Booth 21-25 | AI Data Management Zone | Tokyo Big Sight
Here’s a problem that doesn’t always make it into model deployment conversations: AI models degrade over time, even when you don’t touch them. Not because the model changes. Because the
If you’ve worked on NLP for low-resource languages — Yoruba, Quechua, Tigrinya, Hmong — you know the math is brutal. Native speakers with domain expertise are scarce. Their time is expensive. The data needs are enormous. And you can’t bootstrap from a “close enough” language without inheriting serious bias. A
