Can AI thrive without real-world data?
Synthetic data is addressing challenges in AI training caused by limited or sensitive real-world datasets. By artificially generating data that mimics real environments, it allows models to learn and improve without violating privacy or facing data scarcity. This makes AI development faster, more ethical, and more inclusive across industries where traditional data is hard to obtain.