To overcome two challenges in training AI – scarce or hard-to-get data and data privacy – researchers have come up with a counterintuitive technique: fake it.
In the evolving landscape of artificial intelligence (AI), the assumption that more data lead to better models has driven unchecked reliance on synthetic data to augment training datasets. Although ...
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 ...
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 ...
Expertise from Forbes Councils members, operated under license. Opinions expressed are those of the author. Artificial intelligence (AI) models—specifically, generative AI (GenAI) models—are becoming ...
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 ...
The possible applications of generative AI have been explored by many in recent weeks. However, one major unexplored topic is how fraud analysts can use data created by generative AI to augment and ...
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 ...
To feed the endless appetite of generative artificial intelligence (gen AI) for data, researchers have in recent years increasingly tried to create "synthetic" data, which is similar to the ...
In today’s dynamic global economy, financial institutions are increasingly confronted with uncertainties that defy historical precedent. Traditional stress testing long reliant on past market data ...
When city leaders talk about making a town "smart," they're usually talking about urban digital twins. These are essentially ...
Self-driving cars were supposed to be in our garages by now, according to the optimistic predictions of just a few years ago.