Rapidly advancing ‘volatile’ global regulation is perceived by many as something that will impair innovation and business development and strictly limit what can be done with data. However, for most companies in the Finance industry, on their way to become Tech firms with a banking license, data is positioned to be ‘in the heart of everything they do’. This implies the need for break-through technology. Synthetic Data seems to be an excellent candidate, which can help to increase the ‘liquidity’ of data, which can help to unlock the true potential of data, but all within the limits of compliance. ‘Synthetic Data’ is an emerging AI-driven technology that rapidly gains momentum, in the context of both Fintech as well as Core Banking, because of the wide range of applications, ranging from shortening cycles for Quantitative Risk Modeling, minimizing the effort to comply to regulation, regarding GDPR and AI-specific topics, to accelerating ‘straight forward’ development and testing processes.