The tangible world we were born into is steadily becoming more homogenized with the digital world we’ve created. Gone are the days when your most sensitive information, like your Social Security ...

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

Deepfakes have moved from novelty to material enterprise risk, reshaping how organizations assess privacy, security, brand integrity and ...

Synthetic data is becoming an increasingly attractive tool for companies looking to accelerate their AI development. By simulating realistic scenarios, it can protect privacy, speed up model training ...

As AI becomes more common and decisions more data-driven, a new(ish) form of information is on the rise: synthetic data. And some proponents say it promises more privacy and other vital benefits. Data ...

Data has long been at the heart of nearly every organization. But as organizations adopt increasingly sophisticated artificial intelligence (AI) tools, the challenges around accessing and using ...

As India’s digital economy matures and the DPDP Act reshapes accountability, privacy is increasingly seen as a marker of ...

As AI systems become more sophisticated, the challenges of training them effectively—and responsibly—continue to grow. The use of real-world data often comes with concerns and roadblocks—privacy risks ...

The first time synthetic data was used to mimic real-world data was in 1993 by Donald Rubin. He created data that was statistically like genuine data, but without the risk of privacy compromise. With ...

The generation of synthetic data in healthcare has emerged as a promising solution to surmount longstanding challenges inherent in the use of real patient data. By replicating the underlying ...