The Data Diva E270 - Filipe Pinto and Debbie Reynolds

Send us a textIn Episode 271 of The Data Diva Talks Privacy Podcast, Debbie Reynolds, The Data Diva, talks with Ridwan Oloyede, Emerging Technologies and Technology Policy Lead, about the rapid evolution of data protection across Africa and why global conversations often misunderstand or oversimplify the continent. Ridwan shares insights into how privacy and technology policy have matured across African jurisdictions and why Africa should not be treated as a monolith in global regulatory discussions.The conversation explores the growth of data protection laws, regulators, and professional communities across the continent, including how capacity building, certification, and cross-border collaboration are shaping the next generation of privacy leadership. Debbie and Ridwan discuss common misconceptions, the importance of local context, and how African countries diverge meaningfully on issues such as post-mortem privacy, registration requirements, audits, and cross-border data transfers.They also examine how legal traditions that predate the GDPR influence modern African privacy frameworks, including differing approaches to legal bases for processing and consent. Ridwan emphasizes the need for better global research, storytelling, and representation to accurately reflect what is happening on the ground. The episode highlights Africa’s growing role in shaping global privacy norms through innovation, pragmatism, and preventative approaches to data protection.Support the showBecome an insider, join Data Diva Confidential for data strategy and data privacy insights delivered to your inbox. 💡 Receive expert briefings, practical guidance, and exclusive resources designed for leaders shaping the future of data and AI. 👉 Join here: http://bit.ly/3Jb8S5p Debbie Reynolds Consulting, LLC

Send us a textIn 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.Support the showBecome an insider, join Data Diva Confidential for data strategy and data privacy insights delivered to your inbox. 💡 Receive expert briefings, practical guidance, and exclusive resources designed for leaders shaping the future of data and AI. 👉 Join here: http://bit.ly/3Jb8S5p Debbie Reynolds Consulting, LLC

Send us a textIn 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.Support the showBecome an insider, join Data Diva Confidential for data strategy and data privacy insights delivered to your inbox. 💡 Receive expert briefings, practical guidance, and exclusive resources designed for leaders shaping the future of data and AI. 👉 Join here: http://bit.ly/3Jb8S5p Debbie Reynolds Consulting, LLC

Send us a textIn 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.Support the showBecome an insider, join Data Diva Confidential for data strategy and data privacy insights delivered to your inbox. 💡 Receive expert briefings, practical guidance, and exclusive resources designed for leaders shaping the future of data and AI. 👉 Join here: http://bit.ly/3Jb8S5p Debbie Reynolds Consulting, LLC

Send us a textIn Episode 267 of The Data Diva Talks Privacy Podcast, Debbie Reynolds, The Data Diva, talks with Federico Marengo, Associate Partner at White Label Consultancy in Italy. They explore the accelerating intersection of privacy, artificial intelligence, and governance, and discuss how organizations can build practical, responsible AI programs that align with existing privacy and security frameworks. Federico explains why AI governance cannot exist in a vacuum and must be integrated with the policies, controls, and operational practices companies already use.The conversation delves into the challenges organizations face in adopting AI responsibly, including understanding the requirements of the EU AI Act, right-sizing compliance expectations for organizations of different scales, and developing programs that allow innovation while managing risk. Federico highlights the importance of educating leadership about where AI regulations actually apply, since many businesses overestimate their obligations, and he explains why clarity around high-risk systems is essential for reducing unnecessary fear and confusion.Debbie and Federico also discuss future trends for global AI and privacy governance, including whether companies will eventually adopt unified enterprise frameworks rather than fragmented jurisdiction-specific practices. They explore how organizations can upskill their teams, embed governance into product development, and normalize AI as part of standard technology operations. Federico shares his vision for a world where professionals collaborate to advance best practices and help organizations embrace AI with confidence rather than hesitation.Support the showBecome an insider, join Data Diva Confidential for data strategy and data privacy insights delivered to your inbox. 💡 Receive expert briefings, practical guidance, and exclusive resources designed for leaders shaping the future of data and AI. 👉 Join here: http://bit.ly/3Jb8S5p Debbie Reynolds Consulting, LLC

Send us a textIn Episode 266 of The Data Diva Talks Privacy Podcast, Debbie Reynolds, The Data Diva, talks to Matthew Kay, Group Data Protection Officer at Shawbrook. Their discussion centers on pragmatic data protection, responsible governance, and the realities of advising organizations that are rapidly scaling or adopting emerging technologies. Matthew explains why trust-building, timing, and understanding the business context are essential for privacy professionals seeking to drive meaningful change.Debbie and Matthew explore the challenges created by fast-moving artificial intelligence adoption, including transparency gaps, organizational pressures to automate, and the difficulty of maintaining meaningful oversight as data processing grows more complex. Matthew describes how privacy professionals can enable innovation by identifying mitigations early, embedding privacy by design, and guiding business leaders toward safe, sustainable data use. They also discuss why effective data protection requires risk balancing rather than rigid absolutism, and how credibility and constructive engagement support long term compliance.Their conversation concludes with a focus on the future of data management and the importance of ongoing stewardship. Matthew reflects on the parallels between data governance in everyday life and large corporate environments, emphasizing continuous organization, monitoring, and clarity of purpose. Debbie and Matthew highlight why global communities benefit from sharing best practices across jurisdictions and how pragmatic, human-centered governance helps strengthen trust and resilience in a rapidly evolving digital landscape.Support the showBecome an insider, join Data Diva Confidential for data strategy and data privacy insights delivered to your inbox. 💡 Receive expert briefings, practical guidance, and exclusive resources designed for leaders shaping the future of data and AI. 👉 Join here: http://bit.ly/3Jb8S5p Debbie Reynolds Consulting, LLC

Send us a textIn Episode 265 of The Data Diva Talks Privacy Podcast, Debbie Reynolds, The Data Diva, talks to James Robson, Data Protection Officer for the Labour Party in the United Kingdom. Together, they explore how public sector organizations and political entities navigate modern data protection challenges while balancing public trust, transparency, and societal benefit. Their conversation highlights why research data, safe data environments, and responsible access structures are increasingly essential for tackling complex social problems.Debbie and James discuss the importance of privacy-preserving data sharing for research and the practical realities of enabling societal value without compromising individual rights. James describes his work supporting research ecosystems, including the creation of secure data archives, the role of the Office for National Statistics, and how the United Kingdom’s “five safes” framework helps protect high-risk datasets in controlled environments. They also examine the ethical considerations around using sensitive data to improve outcomes for vulnerable groups, and how organizations can design safe, centralized systems without sacrificing privacy.In the final segment, Debbie and James reflect on the future of data minimization, trust, and governance. They consider how architectures that strictly limit data use could reshape long-term privacy protections and discuss the human element required to steward data responsibly. Their conversation underscores the need for collaboration across government, research institutions, and technology teams to build trustworthy systems that support both privacy and public benefit.Support the showBecome an insider, join Data Diva Confidential for data strategy and data privacy insights delivered to your inbox. 💡 Receive expert briefings, practical guidance, and exclusive resources designed for leaders shaping the future of data and AI. 👉 Join here: http://bit.ly/3Jb8S5p Debbie Reynolds Consulting, LLC

Send us a textIn Episode 264 of The Data Diva Talks Privacy Podcast, Debbie Reynolds, The Data Diva, talks with Brintha Shanmugalingam, Data Governance Expert at Capgemini, about how organizations can reduce privacy risk and unlock innovation by managing data with more context, precision, and intelligence. They explore why traditional governance often restricts value by imposing blanket prohibitions, and how granular, attribute level stewardship enables safe data usage without unnecessary barriers. Brintha explains how ontological modeling and knowledge graphs help maintain meaning, purpose, and control throughout the data life cycle, even as information moves across borders and functions.Debbie and Brintha examine the growing importance of aligning privacy, compliance, security, business value, and technical feasibility to establish governance systems that empower rather than block decision makers. They discuss how identifying the specific sensitivity of each data element can prevent misuse while accelerating lawful sharing and innovation in areas like AI and cross regional analytics. The conversation also highlights the misconceptions organizations have about risk and why binary thinking about data exposure leads to lost opportunities.Listeners will learn practical insights for improving data confidence and accountability, including understanding contextual use, designing protections that evolve with business needs, and ensuring safeguards are embedded where work actually happens. This episode encourages leaders to rethink governance as a strategic capability that creates agility, trust, and measurable outcomes when executed with smarter structure and deeper understanding.Support the showBecome an insider, join Data Diva Confidential for data strategy and data privacy insights delivered to your inbox. 💡 Receive expert briefings, practical guidance, and exclusive resources designed for leaders shaping the future of data and AI. 👉 Join here: http://bit.ly/3Jb8S5p Debbie Reynolds Consulting, LLC

Send us a textIn Episode 263 of The Data Diva Talks Privacy Podcast, Debbie Reynolds, The Data Diva, talks with Karen Smiley, Founder and Owner of She Writes AI LLC, about the complex ethical questions emerging as artificial intelligence systems leverage vast amounts of creative and personal data without clear permission or accountability. They examine how rapid innovation is challenging legacy rules around copyright, content reuse, and compensation, especially for creators whose work fuels AI models without acknowledgment or benefit. Karen explains why opacity in data sourcing and AI training has created a critical trust gap that reflects deeper societal risks.The conversation explores the hidden environmental and labor impacts that many users never see, including the enormous resources required to run large scale systems and the human labor behind data annotation and content moderation. Debbie and Karen discuss how misinformation, inaccurate outputs, and lack of transparency threaten both consumer well being and global cyber resilience, revealing a growing disconnect between hype and ethical responsibility across industries rushing to adopt AI.Listeners will hear how real awareness and education can empower individuals to ask harder questions, influence product choices, and demand systems that reflect fairness, safety, and truth. This episode highlights why companies must evolve from simply extracting value to earning user trust through ethical design, accountability, and consistent respect for the people who generate data and creativity that make AI possible.Support the showBecome an insider, join Data Diva Confidential for data strategy and data privacy insights delivered to your inbox. 💡 Receive expert briefings, practical guidance, and exclusive resources designed for leaders shaping the future of data and AI. 👉 Join here: http://bit.ly/3Jb8S5p Debbie Reynolds Consulting, LLC

Send us a textIn Episode 262 of The Data Diva Talks Privacy Podcast, Debbie Reynolds, The Data Diva, talks with Nicola Fabiano, Lawyer, Data Protection, Data Governance and Cybersecurity Advisor, and Author, about how defining artificial intelligence clearly is essential to regulating it effectively. They explain why the world must move beyond broad general terms and begin focusing on artificial intelligence systems to ensure that legal frameworks match the real operational and privacy impacts already influencing everyday life. Nicola shares his view that society is not entering the age of AI, but is finally recognizing its long standing presence and the complexity behind its rapid expansion.They explore the delicate balance between innovation and fundamental rights as advanced AI becomes deeply integrated into global business, government, infrastructure, and daily decision making. The conversation addresses gaps in traditional oversight, the need for practical governance tools, and how neural network development challenges prior assumptions about data, consent, control, and risk. Nicola outlines why privacy law cannot operate in isolation, but must link with technical standards and ethical expectations to truly protect individuals and prevent unintended harm.Listeners will gain insight into Nicola’s multi layer approach, which combines legal, scientific, operational, and ethical perspectives to keep AI growth aligned with human values. This episode underscores why collaboration across disciplines is critical for setting boundaries that encourage responsible progress, reduce uncertainty, and build trust in intelligent systems with global influenceSupport the showBecome an insider, join Data Diva Confidential for data strategy and data privacy insights delivered to your inbox. 💡 Receive expert briefings, practical guidance, and exclusive resources designed for leaders shaping the future of data and AI. 👉 Join here: http://bit.ly/3Jb8S5p Debbie Reynolds Consulting, LLC