Accessing PHI for development and testing is often blocked by stringent HIPAA compliance requirements. Learn how synthetic data helps engineers build tools to close care gaps and improve HEDIS scores.

COMMISSIONED: As with any emerging technology, implementing generative AI large language models (LLMs) isn’t easy and it’s totally fair to look side-eyed at anyone who suggests otherwise. From issues ...

Announcing the Fabricate Data Agent, synthetic data generation via agentic AI. Plus, Structural's Custom Categorical is now AI-assisted, and Model-based Custom Entities are coming to Textual!

Last week the billionaire and owner of X, Elon Musk, claimed the pool of human-generated data that's used to train artificial intelligence (AI) models such as ChatGPT has run out. Musk didn't cite ...

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 ...

Pioneering work by the so-called “Godfathers of AI,” 2018 Turing Award winners Yoshua Bengio, Geoffrey Hinton and Yann LeCun, along with Fei-Fei Li’s creation of ImageNet, helped lay the groundwork ...

As the need for privacy-focused and easily accessible AI training data increases, synthetic data has become a compelling alternative. According to Ameeta Roy, Senior Director - Technology and Adoption ...