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 ...

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 ...

Sajal works at Kyndryl, advises startups, ex-Innovation Expert for UN Compact and member, EU Commission's Apply AI Alliance. The AI industry is bound to face a paradox. Synthetic data can democratize ...

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.

Traditionally, AI progress was constrained by one thing above all else: access to data. Not enough volume. Not enough diversity. Not enough coverage of edge cases. That constraint is disappearing.

We operate in a world of increasing data privacy regulation, growing fragmentation across channels and ever-more complex media ecosystems. Against that backdrop, the demand for richer, more granular ...

This article was originally published on ARPU. View the original post here. This week, SandboxAQ, an artificial intelligence startup spun out of Alphabet and backed by Nvidia, released a trove of 5.2 ...

If AI no longer requires grounding in human-created data, we are not just distorting reality. We are beginning to manufacture it.

Synthetic data is generated as a replacement for real data that is considered poor quality, fragmented, siloed, sensitive or otherwise unusable for AI training in the enterprise. However, synthetic ...

Cedars-Sinai is adopting a synthetic data platform to enhance research and clinical care, enabling teams to work with AI-generated datasets that mimic real patient data while maintaining privacy and ...