Synthetic data can make a real difference in building trust
Protecting privacy and reducing bias in AI models are just two uses for synthetic data, which keeps gaining traction with businesses.
Source: fortune.com
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Protecting privacy and reducing bias in AI models are just two uses for synthetic data, which keeps gaining traction with businesses.
The online fervor over synthetic data exceeds its viability. But when it comes to public policy and data privacy, does synthetic data have valid use cases?
It seems like every passing month brings more hype to the field of synthetic data - and more AI startups and open source projects. But how far have we come? Some plausible use cases are emerging, but has synthetic data really addressed its limitations?