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In episode 239 of The Data Diva Talks Privacy Podcast, host Debbie Reynolds, “The Data Diva,” welcomes Saumya Gupta, Assistant Vice President for APAC and Japan at Platform 3 Solutions. Saumya brings a unique blend of deep technical expertise and strategic thinking to the conversation about data privacy in the modern enterprise. She and Debbie discuss how legacy systems represent one of the largest and most overlooked privacy risks—storing sensitive data long past its useful life and outside of governance controls. Saumya explains how data lake and lakehouse architectures can help businesses centralize, tag, and govern large volumes of structured and unstructured data more efficiently. She presents her open metadata model, a five-layer system that empowers organizations to classify data by technical properties, business relevance, operational quality, sensitivity, and compliance requirements. The conversation explores the collision between AI’s data hunger and privacy’s minimization mandate, and Saumya warns that enterprises cannot afford to ignore data lifecycle hygiene. They also discuss defensible deletion, audit readiness, and the importance of building data infrastructure with privacy as a foundational element. Saumya’s insights help organizations reframe legacy data not just as a cost center or liability, but as an opportunity to reset and future-proof their compliance strategies.

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