Humans can't create new data fast enough to keep up with the demands of AI. Last week the billionaire and owner of X, Elon Musk, claimed the pool of human-generated data that's used to train ...

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 ...

Synthetic data acts as a protective barrier, preserving individuals' privacy and mitigating the risks associated with handling real-world data, says Steve Harris, CEO of Mindtech. In today’s digital ...

In the vast landscape of the information era, where every byte and bit holds immense value, data stands tall as a linchpin of countless innovations. It’s the invisible fuel powering our digital ...

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 ...

Nahla Davies looks at the blind spot between information security controls and genuine data integrity governance. There’s a strange kind of confidence that comes with getting ISO 27001 certified. The ...

Organizations that are racing to become data-informed and AI-enabled often invest heavily in technical training. It makes sense that they’d do this: They need their employees to be able to access, ...

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 ...