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In Episode 270 of The Data Diva Talks Privacy Podcast, Debbie Reynolds, The Data Diva, talks with Filipe Pinto, researcher, strategist, and author of Consumer-Controlled Digital Twin Architecture, about the future of personal data control and what it means to move beyond consent-based privacy models. The conversation centers on Filipe’s concept of consumer-controlled digital twins and why true privacy requires technical and architectural change rather than reliance on legal agreements alone.

Debbie and Filipe examine the limitations of today’s cloud-centric data ecosystem, including how consent has become performative rather than protective. They discuss the idea of de facto control versus de jure control of data, the risks of biased and incomplete data-driven inferences, and why personal data systems are fundamentally designed to remember rather than forget. The episode explores how engineered privacy could shift power back to individuals by keeping data at the edge and allowing AI models to move without transferring raw personal data.

The discussion also addresses equity, access, and feasibility, including concerns about whether consumer-controlled systems could unintentionally create new digital divides. Debbie and Filipe explore how privacy engineering, open collaboration, and cross-disciplinary thinking are required to design systems that respect autonomy while remaining practical and scalable. The episode challenges listeners to rethink privacy not as a regulatory checkbox, but as an architectural and societal design choice.

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Debbie Reynolds Consulting, LLC

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In Episode 269 of The Data Diva Talks Privacy Podcast, Debbie Reynolds, The Data Diva, talks with Kimberly Lancaster, Founder and CEO of Avalon Privacy and Compliance. They discuss the evolving relationship among privacy, security, and compliance and why companies must treat these functions as interconnected elements of trust rather than isolated disciplines. Kimberly explains how organizations of all sizes can build stronger programs by emphasizing transparency, shared responsibility, and thoughtful data stewardship throughout the enterprise.

The conversation explores the real world challenges companies face when scaling governance, including vendor diligence, access controls, continuous monitoring, and the risks created when teams assume that technology alone can solve problems. Kimberly describes why proactive privacy practices, including data inventories and lifecycle thinking, make companies more resilient, reduce downstream crises, and strengthen their ability to respond to new regulations without disruption.

Debbie and Kimberly also examine the human side of privacy work, highlighting how culture, empowerment, and community learning shape successful programs. Kimberly shares her wish for a future where transparency becomes the foundation for trust and where companies design experiences that offer convenience without requiring people to sacrifice their data unknowingly. She emphasizes that privacy leadership is ultimately about enabling people to grow, make better decisions, and help organizations operate with integrity.

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Debbie Reynolds Consulting, LLC

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In Episode 268 of The Data Diva Talks Privacy Podcast, Debbie Reynolds, The Data Diva, talks with Anuj Jain, Lead Privacy Engineer at S&P Global. They discuss the role of privacy engineering in shifting data stewardship earlier in the technology lifecycle and how privacy-focused design strengthens both compliance and innovation. Anuj explains why many organizations still view privacy narrowly through a legal or security lens and why technical privacy practices are essential for building sustainable, enterprise wide maturity.

The conversation explores how privacy engineering transforms real operational workflows, including the review of cookies and tracking technology, automation of assessments, governance of AI systems, and managing risk through proactive testing and technical controls. Anuj provides insight into how S&P Global structures its privacy program across legal, technology, and business teams, creating a model of cross functional collaboration that allows privacy to scale.

Debbie and Anuj also discuss the cultural dimensions of privacy and how expectations differ across regions such as India, Europe, and the United States. They examine the impact of consumer awareness, regulatory timelines, and local norms on how individuals and companies interpret privacy. Anuj closes with practical insights about the power individuals have to influence corporate behavior through their choices and questions, and why thoughtful human decision making remains essential even in an AI driven world.

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Debbie Reynolds Consulting, LLC