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Debbie Reynolds, “The Data Diva” talks to Andrew Hopkins, President of PrivacyChain. We discuss the limitations of the current centralized data model and the potential advantages of a decentralized data model. We emphasize the importance of managing data at a granular level and embedding control and intelligence into data to ensure privacy and security. The conversation also explores the evolving role of metadata in AI systems, the challenges of data duplication, and the strategic approach to file management.

We discuss the multifaceted challenges and opportunities surrounding data management and privacy in the era of artificial intelligence. We address the difficulties of tracking and managing data without proper metadata, the implications of AI on privacy, and the business considerations of data ownership. We explore the potential for decentralization to enable fair data monetization for individuals and the need for granular control over data at a micro-level to enforce rights.

The conversation underscored the need for a shift in mindset towards data privacy and security and the potential benefits of enabling individuals to make informed choices about their data. We emphasize the importance of choice at every level of data usage, advocating for individuals and organizations to have control over their data. We also proposed a paradigm shift towards safeguarding content at a micro level and granting individual contributors greater control over their work in the publishing industry. Overall, Andrew highlighted the ongoing shift in thinking, the challenges associated with advocating for decentralized models in the face of existing trends and revenue models, and his hope for Data Privacy in the future.

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