This keynote explores how privacy engineering, synthetic data, and responsible AI converge to create secure, resilient, and trustworthy enterprise data pipelines. It presents a practical framework for balancing statistical and business logic fidelity while addressing privacy risks, governance, and sustainability throughout the data lifecycle.
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