How innovators outperform competitors in banking

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2021 will be a hard year for the financial sector. The winning strategy is to accelerate digital transformation: build on customer trust and establish true data-centricity by developing synthetic data capabilities to produce accurate and privacy-compliant synthetic truths to be used as drop-in placement for sensitive, raw data.

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Synthetic data alternatives increase data literacy, streamline privacy-compliance, minimize data retention, speed up vendor validation, empower cooperations with academia and cross-industry players, enable the development of customercentric products, mitigate data leak risks and improve the performance of AI and machine learning models.

This ebook will give you an overview of what AI-generated synthetic data is, and guide you through the most important use cases you need to understand to leverage synthetic data to maximize your organization’s data opportunities.