Whether AI developers scrape or license data, each approach poses challenges for content rights holders and AI companies Sophisticated systems capable of generating high-quality synthetic data can ...

In the rapidly evolving landscape of the finance industry, the advent of synthetic data stands out as a groundbreaking development to revolutionize the way financial institutions harness data for ...

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.

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 ...

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 ...

AI and ML algorithms rely heavily on vast data for training and development. However, the availability of high-quality, diverse, and secure data can be a significant challenge. In fact, upon not being ...

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 ...

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 ...

As artificial intelligence models continue to evolve at ever-increasing speed, the demand for training data and the ability to test capabilities grows alongside them. But in a world with equally ...

This article is part of a VB special issue. Read the full series here: The quest for Nirvana: Applying AI at scale. Artificial intelligence (AI) relies heavily on large, diverse and ...

As AI companies start running out of training data, many are looking into so-called “synthetic data” — but it remains unclear whether such a thing will ever work. But while companies like Anthropic, ...