Struggling to balance data privacy with AI-driven innovation? With privacy laws covering 79% of the globe and GDPR fines hitting €5.9 billion by 2025, financial institutions face a tough challenge. Traditional anonymisation falls short, reducing data utility by up to 50% and leaving re-identification risks.
Synthetic data is the solution. It delivers statistically accurate datasets without personal identifiers, powering compliant AI for fraud detection, AML, and customer onboarding. Banks using synthetic data cut proof-of-concept timelines by 40-60% and achieve 96-99% utility equivalence in AML model testing.Download the Whitepaper to learn how synthetic data fuels innovation while keeping you compliant. Stay ahead as 75% of large banks integrate synthetic data into AI strategies by 2025.
What’s Inside the Whitepaper:
- How synthetic data unlocks faster, secure AI development
- Real-world success stories, like cross-border AML model training
- Key 2025 trends, from regulatory sandboxes to generative AI advancements
- Practical steps to implement synthetic data effectively
Download Now to discover how synthetic data can transform your AI projects, reduce risks, and keep you ahead of compliance challenges.
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Discover how synthetic data can transform your AI projects.
