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Stranger Danger: How Well Do You Know Your AI?
Global street smarts through culturalization.
Case Study: Multilingual Retail Marketing
New AI Content Creation Solutions for a Sports and Apparel Giant
- RESOURCES
To train their AI models, teams are choosing between two very different AI data collection sources: human-collected data and synthetic data. Theoretically, synthetic AI data collection seems like the obvious choice. Synthetic data is fast, cheap, and endlessly scalable. However, as more companies move beyond early experimentation and into production-grade AI systems, they’re encountering challenges with synthetic data’s quality, diversity, context, and trustworthiness. These are things only real, human-collected data can reliably provide. The key is to choose the right AI data services partner. A strong AI data solutions partner offers controlled environments, customized workflows, and access to contributors who are diverse in every demographic and global. Our operational standards are high, so we collect LLM training data that actually enhance model performance.
Considering these factors, many teams are now reassessing when and where synthetic data is the answer. Companies building multimodal, safety-critical, or culturally nuanced systems (from voice assistants, to search to computer vision, to agentic AI) are finding synthetic data can’t always reliably mimic real-world human scenarios. These data sets lack edge cases, realistic noise, emotional depth, and global perspectives. Models trained solely on synthetic data are more likely to plateau, hallucinate, or fail.
Notably, synthetic data is continuing to evolve. In some scenarios, it can indeed be complementary in model training. Most organizations may have use for some synthetic data. However, it’s typically as a supplement to high-quality labelled data collected by humans that’s ethically sourced, demographically diverse, context-rich, and backed by rigorous QA.
Check out our infographic below to learn five reasons companies are choosing human-collected data.
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Ready to explore custom data set creation and AI data services? Need help training your model with high-quality labeled data? Let’s discuss how Lionbridge AI™‘s data solutions can help. Let’s get in touch.
