The first dimension is the most fundamental: statistical fidelity. It is not enough for synthetic data to look random. It must behave like real data. This means your distributions, cardinalities, and ...

Every synthetic dataset generated today trains tomorrow's models while potentially poisoning the ecosystem those models ...

Synthetic data allows regulators to test the resilience of critical infrastructure defenders under extreme hypothetical scenarios.

While everyone focuses on synthetic data’s privacy benefits — yes, Gartner forecasts it represented 60% of AI training data ...

Jeffrey McGregor is the CEO of Truepic, an enterprise leader of Visual Risk Intelligence in the AI era.

Artificial Intelligence (AI) models are only as good as the data on which they are trained. Yet gathering enough high-quality ...

As artificial intelligence (AI) moves beyond experimentation to industrial-scale deployment, questions around privacy, ethics, and accountability continue to be asked. With so much attention focused ...

A Chinese research team has built an artificial intelligence system that never touched real-world data, yet still runs on ...

The AI chip giant has developed a synthetic dataset of personas to help developers build AI models that understand Singapore’s demographic and cultural nuances without using personally identifiable in ...

From 2023 to 2025, the proportion of synthetic data increased from 20%-30% to 50%-60%, becoming a core resource to fill long-tail scenarios. -- Full-process automated toolchain from collection to ...

Verified Trust - a continuous approach to identity assurance that confirms the same trusted customer is present not just at ...

AMZY underperforms Amazon's total returns, with its option layer adding little income and only minor drawdown mitigation.