Adaption of Generative Methods for Anonymization will Revolutionize Data Sharing and Privacy

Taking a break from the generative AI hype around LLMs and foundation models, let’s explore how synthetic data created by more traditional generative AI models are set for mainstream adoption.

Data is as valuable as gold, and sharing it responsibly presents both immense opportunities and significant challenges for organizations and society. To ethically process data and avoid legal repercussions, organizations must ensure they do not violate the privacy of individuals contributing their data …

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