First, institutions must ensure that synthetic datasets are continuously recalibrated against fresh, real-world evidence. The ...

As AI systems become more sophisticated, the challenges of training them effectively—and responsibly—continue to grow. The use of real-world data often comes with concerns and roadblocks—privacy risks ...

As artificial intelligence researchers exhaust the supply of real data on the web and in digitized archives, they are ...

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.

CEO of $2 billion AI startup says humans will remain essential for decades in training AI, despite talk of synthetic data ...

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 ...

You’ve just finished a strenuous hike to the top of a mountain. You’re exhausted but elated. The view of the city below is gorgeous, and you want to capture the moment on camera. But it’s already ...

The industry’s answer? Synthetic data. “Recently in the industry, synthetic data has been talked about a lot,” said Sebastien Bubeck, a member of technical staff at OpenAI, in the company’s ...

Insurance pricing is a complex exercise. To set the premium price for a policy, an insurer must evaluate various risk factors associated with the person, property or entity to be covered. And insurers ...