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 ...

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 ...

Every time Hasan publishes a story, you’ll get an alert straight to your inbox! Enter your email By clicking “Sign up”, you agree to receive emails from ...

As of March 2025, 40% of global companies report using artificial intelligence (AI) in their business. While the benefits offered by this transformational tool can feel nearly limitless, the reality ...

Slator’s Data-for-AI Market Report identifies this shift as a structural change in the AI value chain, where competitive ...

Synthetic data is generated as a replacement for real data that is considered poor quality, fragmented, siloed, sensitive or otherwise unusable for AI training in the enterprise. However, synthetic ...

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 ...

Jēnna Reese is CEO of Connect Centric, a D.C.-based firm that helps Fortune 500s and large nonprofits execute technology initiatives. In the race to modernize with AI, a new kind of risk is quietly ...

High-quality data and content have become the essential fuel for modern AI systems, and the legal frameworks governing their use are rapidly evolving. Organizations developing or deploying AI models ...

Synthetic data has rapidly transitioned from experimental curiosity to enterprise standard. Companies now rely on it to train credit models, medical diagnostic systems, customer segmentation engines, ...