Business Logic 기반 Synthetic Data 설계를 통한 Enterprise AI 성능 최적화
Generating Synthetic Enterprise Datasets for AI Systems
Mixture Models 도입으로 p99 오차 45%에서 5% 미만으로 개선
Why your synthetic fintech data fails code review (and how mixture models fix it)
Model Collapse 방지를 위한 고품질 Human-generated Data 확보 전략
Valued at Millions, Compensated at Zero
Synthetic Relational Data 도입을 통한 Demo Environment 신뢰성 확보
The Demo Environment Is a Lie. Here's Why That's Hurting Your Sales.
Toy Dataset 탈피를 위한 Synthetic Data의 Infrastructure화 전략
Stop Shipping AI on Toy Datasets: How to Treat Synthetic Data as Infrastructure