As more companies invest in generative AI (gen AI) for bespoke use cases and products, proprietary data is becoming increasingly important to training large language models (LLMs). Unlike ChatGPT, ...

While many organizations are experimenting with synthetic data, few are focusing on scalability and building AI-ready data ...

One important fact that business leaders of today are well aware of is that “data” is the glue holding this digital ecosystem together. Yet, data presents the biggest hurdle for many companies in ...

Global tech executives are racing to deploy autonomous agents over the next two years, but in doing so they face a balancing act: How do you leverage data in a way that maximizes trust and confidence ...

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 ...

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 ...

As AI models become increasingly commoditized, the data required to train and fine-tune them has never been more critical. While procuring high-quality data is expensive and raises privacy concerns, ...

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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 ...

Data has long been at the heart of nearly every organization. But as organizations adopt increasingly sophisticated artificial intelligence (AI) tools, the challenges around accessing and using ...

I take it with a grain of salt when a book author makes a comment like “This is the first book on synthetic data for deep learning, and its breadth of coverage may render this book as the default ...