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

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 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 ...

Expertise from Forbes Councils members, operated under license. Opinions expressed are those of the author. In today’s data-driven world, enterprises face an ever-growing demand for data to fuel their ...

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

The business analytics company’s new Data Maker allows organizations to create synthetic data for AI training.

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 ...

One of the interesting topics around the use of AI in marketing is synthetic data. I’m not completely sure I’m comfortable with it, though. Synthetic data is exactly what it sounds like: artificially ...

* 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 ...