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SAP's Data Anonymization Challenge

Protect personally identifying information in semi-structured data while preserving the utility of the dataset for machine learning tasks.

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We were able to work with HeroX to draft challenge guidelines, promote the challenge to a targeted audience of interested parties, and ultimately draw a crowd of innovators from across the globe to submit proposals to address our challenge. We were quite satisfied with the number and diversity of both individuals and proposals that the challenge drew.

- Martin Caride, Land O’ Lakes Inc.

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