The Data Diva E233 - Peter Cranstone and Debbie Reynolds

"The Data Diva" Talks Privacy Podcast

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Debbie Reynolds “The Data Diva” talks to Peter Cranstone, CEO, 3PMobile, Digital Ecosystems and Consumer Choice. We discuss his personal journey in technology, beginning with his early work on data compression inspired by his uncle. He discusses the creation of the Do Not Track web standard aimed at enhancing user privacy, which faced challenges due to consumer preferences for convenience. Despite the introduction of privacy regulations such as GDPR and CCPA, he notes that users often prioritize instant gratification over privacy. His collaboration with a Kaiser Permanente executive shifted his focus from IT architecture to business strategy, broadening his understanding of how technology can be tailored to meet individual needs in healthcare.

Cranstone also recountes the historical evolution of windshield wipers, illustrating how innovation can take time to gain public acceptance. He highlightes the contributions of Mary Anderson and Robert Kearns, emphasizing the importance of gradual acceptance in automotive technology. Additionally, he discusses the complexities of engaging patients in their health management, proposing a dynamic app that allows for continuous interaction with healthcare providers, thereby addressing the challenges posed by an aging population.

The conversation shifts to data privacy and decentralization, with Cranstone advocating for a secure wallet system that empowers users to manage their data. He argues for a trusted web model where individuals are compensated for sharing their information, contrasting it with current practices that often exploit user data. Cranstone also addresses the need for equitable resource distribution, suggesting that the value generated by major tech companies could be redirected to alleviate issues like food insecurity. He concludes by emphasizing the importance of AI in personalizing user interactions while maintaining privacy, advocating for a moral approach to data management that respects individuals and promotes equitable distribution, and his data privacy hope for the future.

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