Synthetic Data

Synthetic data refers to data generated in a digital environment rather than collected in the physical environment. By constructing a situation or environment that cannot exist in reality, it is possible to mass produce new data from various domains. The value of synthetic data is becoming higher because it contributes to the enhancement of accuracy in the training of AI models and enables the development of Advanced AI with less amount of real data.

Synthetic Data: What does Visol offer?

A dataset created in a digital environment, rather than collected or measured in a real-world environment, constructs virtual environments and scenarios using 3D modeling and computer graphics (CG) technology based on numerical information of real objects. Through a synthetic data auto-generation system developed with Visol’s proprietary technology, it provides accurately auto-labeled, customized, high-quality synthetic data for AI learning.

Why IS synthetic data IMPORTANT?

Enhancing AI performance

Privacy issues that need to be addressed ethically

Identify and eliminate data imbalances and biases

Create sparse data

Collect large amounts of training data

Reduce training time for AI processes

*Source: Gartner, “Maverick Research: Forget About Your Real Data – Synthetic Data Is the Future of AI,” Leinar Ramos, Jitendra Subramanyam, 24 June 2021.