Indeed, if predictions from Gartner are accurate, by 2030, “synthetic data will completely overshadow real data in AI models.” We've featured the best AI chatbot for business.

Synthetic data delivers clean, scalable and customizable datasets that can augment—or even replace—traditional data in key use cases.

As more organizations are turning to synthetic data to feed their data-hungry machine learning algorithms, Rendered.ai wants to help. Written by George Anadiotis, Contributor Feb. 3, 2022 at 5:00 ...

Google popularized the term "knowledge graph" in this 2012 blog post. Since then, there has been a massive momentum around ...

Synthetic data is especially valuable for AI models because they require large, diverse, and high-quality datasets for effective training that can be difficult or impractical to obtain.

Hugging Face has introduced the Synthetic Data Generator, a new tool leveraging Large Language Models (LLMs), that offers a streamlined, no-code approach to creating custom datasets. The tool facilita ...

The data generators with the first approach, augmenting Visual Genome’s scene graphs with depth and segmentation annotation from Depth Anything V2 and SAM-2, helped them create 1.5 million ...

Scale AI’s path to becoming a $7.3 billion company was paved in real data from images, text, voice and video. Now, it is using that foundation to get into the synthetic data game, one of the ...