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 ...

What is synthetic data? It is data that is not generated through direct measurement or data capture methods, but rather data that is made from scratch. Examples of which are data derived from computer ...

AI and ML algorithms rely heavily on vast data for training and development. However, the availability of high-quality, diverse, and secure data can be a significant challenge. In fact, upon not being ...

Defence AI teams are turning to synthetic data because real operational data can be scarce, sensitive, or hard to move. But ...

Hospitals and health systems traditionally have experienced significant challenges in finding insights from data at scale, because their data universes are so complicated. A standard health system has ...

Want smarter insights in your inbox? Sign up for our weekly newsletters to get only what matters to enterprise AI, data, and security leaders. Subscribe Now AI is facing several critical challenges.

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 ...

As more companies invest in generative AI (gen AI) for bespoke use cases and products, proprietary data is becoming increasingly important to training large language models (LLMs). Unlike ChatGPT, ...

This article is part of a VB special issue. Read the full series here: The quest for Nirvana: Applying AI at scale. Artificial intelligence (AI) relies heavily on large, diverse and ...

These people do not exist. These faces were artificially generated using a form of deep learning known as generative adversarial networks (GANs). Synthetic data like this is becoming increasingly ...