The second approach uses generative AI to produce data. Modern generative models are trained on vast amounts of data and can ...

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 ...

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 ...

In a time when health systems are struggling to gain meaningful insights from data – and simultaneously aware that safeguarding patient privacy is essential – synthetic data offers a lot of potential.

The rapid rise of AI agents and foundation models is forcing organizations to completely rethink how they collect, store and ...

Much of the conversation around AI in marketing has centered on creativity and media buying. Yet these are only the most ...

Adam Stone writes on technology trends from Annapolis, Md., with a focus on government IT, military and first-responder technologies. Artificial Intelligence has the potential to transform a range of ...

Synthetic data has emerged as an alternative solution. Various options abound, a viable approach is engineered off real data ...

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 ...