Synthetic Data Is Becoming the Real Competitive Edge
By early 2025, the use of synthetic data had shifted from niche experimentation to mainstream adoption across finance, healthcare, and manufacturing. Synthetic data now serves as a cornerstone for privacy-safe model training, compliance, and performance improvement. Understanding how to generate, evaluate, and deploy synthetic datasets responsibly is becoming a key differentiator for organizations pursuing AI at scale.