For organizations training AI models, access to sufficient volumes of high-quality data is quickly becoming a serious challenge. Privacy and regulatory compliance are ...

Forbes contributors publish independent expert analyses and insights. I track enterprise software application development & data management. Data is real. We enjoy the use of real world substantiated ...

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 ...

In today’s data-driven world, enterprises face an ever-growing demand for data to fuel their operations, from testing to machine learning and AI. Yet, collecting high-quality, diverse and ...

As artificial intelligence models continue to evolve at ever-increasing speed, the demand for training data and the ability to test capabilities grows alongside them. But in a world with equally ...

Examples of real images of various cell types versus synthetic images produced by the researchers' generative model. Credit: Ali Shariati et al. Examples of real images of various cell types versus ...

* The Matrix analogy: Are we training AI inside simulations? Whether you're a data scientist, CTO, or just curious about how AI models learn, this episode offers a deep dive into one of the most ...

Whether AI developers scrape or license data, each approach poses challenges for content rights holders and AI companies Sophisticated systems capable of generating high-quality synthetic data can ...