First, institutions must ensure that synthetic datasets are continuously recalibrated against fresh, real-world evidence. The world moves, behaviors shift, economies cycle and disease patterns evolve.

Synthetic data is becoming an increasingly attractive tool for companies looking to accelerate their AI development. By simulating realistic scenarios, it can protect privacy, speed up model training ...

(The Conversation is an independent and nonprofit source of news, analysis and commentary from academic experts.) Ambuj Tewari, University of Michigan (THE CONVERSATION) You’ve just finished a ...

In a time when health systems are struggling to gain meaningful insights from data – and simultaneously aware that safeguarding patient privacy is essential – synthetic data offers a lot of potential.

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 ...

How do you fix the very real problem of missing or flawed data in healthcare? Just make new data, says a leading academic. But is it as simple as that? In my previous reports on the challenges of ...

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 ...

With the rise of generative AI, synthetic images and text have become common knowledge -- but are you familiar with synthetic data? As the name implies, the term refers to data that is artificially ...

COMMISSIONED: As with any emerging technology, implementing generative AI large language models (LLMs) isn’t easy and it’s totally fair to look side-eyed at anyone who suggests otherwise. From issues ...

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 ...