Synthetic data is billed as a solution for the limitations of real world data sets. But when we scrutinize what synthetic data can do for today's AI systems, unresolved questions keep popping up. The ...

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 ...

I've written about synthetic data before, but I recently found an interesting article, Synthetic Data and Public Policy: supporting real-world policymakers with algorithmically generated data. Two of ...

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 ...

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 ...

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 ...

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* 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 ...

Strict data privacy regulations have compelled companies to transition to using synthetic data, the ideal substitute for real data, containing similar insights and properties yet is more privacy-safe ...

Tether Data’s AI research division, QVAC, released what it claims is the largest synthetic dataset created for artificial intelligence training under a new initiative called QVAC Genesis. This initial ...