This HBR white paper highlights how synthetic data accelerates AI and innovation by enabling privacy-safe, bias-mitigated, regulation-compliant data use. It supports AI training, product testing, and data sharing—especially in finance, healthcare, and telecom—where real data is restricted. Benefits include faster development cycles, reduced compliance hurdles, and improved talent recruitment. Early adopters like Humana and Erste Group report major gains in speed, security, and innovation. As regulatory pressure rises, synthetic data is positioned as a key enabler of ethical, scalable AI adoption.

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