Podcasts about data diva

Send us Fan MailVeronica Canton, Partner, Pierson Ferdinand LLP and Chief Vision Officer, Optimized LeverageIn this episode of The Data Diva Talks Privacy, Debbie Reynolds, "The Data Diva" speaks with Veronica Canton, Partner at Pierson Ferdinand LLP and Chief Vision Officer of Optimized Leverage, about careers in privacy, cybersecurity, and artificial intelligence, as well as the importance of visibility, mentorship, and continuous learning in a rapidly evolving profession. Veronica shares her journey from commercial litigation into privacy, cybersecurity, and AI, explaining how certifications, networking, and consistently sharing knowledge helped create new professional opportunities.The conversation explores how professionals can successfully transition into privacy and cybersecurity from a wide variety of backgrounds. Veronica discusses the importance of building expertise through continuous learning, developing a public presence, and sharing knowledge with others. Debbie and Veronica emphasize that privacy, cybersecurity, and AI are multidisciplinary fields that require perspectives from legal, technical, operational, business, and governance professionals.They discuss the growing need for talent across privacy, cybersecurity, and AI, including roles that do not require legal training. The conversation highlights opportunities in compliance, data subject rights management, incident response, governance, risk management, and technology implementation. Veronica explains how transferable skills from previous careers can provide a strong foundation for success in emerging technology fields and why diverse viewpoints improve decision-making and organizational resilience.The episode also examines the relationship between privacy, cybersecurity, AI governance, and global regulatory trends. Debbie and Veronica discuss cultural differences between the United States and Europe, including how historical events have influenced privacy laws and attitudes toward personal data. They explore how organizations can build demonstrable compliance programs, prepare for regulatory scrutiny, and create governance structures that support innovation while managing risk.By popular demand, Debbie Reynolds Consulting is now offering executive briefings on emerging data privacy risks and how companies can avoid them. To learn more, visit the Executive briefings page on my website.Support the showBecome an insider, join Data Diva Confidential for data strategy and data privacy insights delivered to your inbox. 

Send us Fan MailIn this episode of The Data Diva Talks Privacy, Debbie Reynolds, "The Data Diva" speaks with Rowenna Fielding, Director of Miss IG Geek, about data ethics, privacy, governance, and the human impact of how organizations collect and use data. Rowenna shares her unconventional path into privacy, beginning in theater and information technology before eventually specializing in information governance, data protection, and data ethics. She explains how her work evolved as she became increasingly interested not only in legal compliance but also in the broader consequences of the way organizations make decisions about people using data.The conversation explores the distinction between compliance and ethics, and why organizations often assume that following policies, regulations, or technical controls automatically leads to ethical outcomes. Rowenna argues that data is not neutral or objective but is instead the product of human choices, incentives, and assumptions. Debbie and Rowenna discuss how organizations frequently collect and use data without fully considering whether the data is appropriate, whether it should be collected at all, or whether its use could unintentionally cause harm.They examine the challenge of defining harm in the context of privacy and data protection, particularly when the effects are psychological, social, reputational, or otherwise difficult to measure. The discussion includes comparisons to health and safety frameworks, highlighting how organizations can build systems, governance structures, incentives, education programs, and cultures that make responsible data use the default rather than the exception. Rowenna explains how GDPR's foundation in fundamental rights provides a useful framework for evaluating ethical questions and why organizations must think beyond legal compliance to consider the broader impact of their actions on individuals and society.The episode also explores corporate social responsibility, ESG, organizational values, and how leaders can establish meaningful ethical boundaries in environments where technology is advancing faster than regulation or societal norms. Throughout the conversation, Debbie and Rowenna challenge organizations to think critically about what it means to use data responsibly and how privacy programs can move beyond box-checking exercises to become part of a broader commitment to reducing harm and protecting people.By popular demand, Debbie Reynolds Consulting is now offering executive briefings on emerging data privacy risks and how companies can avoid them. To learn more, visit the Executive briefings page on my website.Support the showBecome an insider, join Data Diva Confidential for data strategy and data privacy insights delivered to your inbox. 

Send us Fan MailIn this episode of The Data Diva Talks Privacy, Debbie Reynolds, "The Data Diva" speaks with Eric Null, Director, Privacy & Data Program at the Center for Democracy & Technology, about the current state of privacy in the United States and the ongoing effort to establish comprehensive federal privacy legislation. Eric shares his unique journey from studying classical clarinet performance to becoming a leading advocate for privacy and consumer rights, explaining how his work in technology policy, net neutrality, broadband privacy, and consumer protection shaped his perspective on privacy as an issue fundamentally connected to power and control.The conversation explores how information functions as a source of power in the digital age and why the collection, processing, and use of personal data can create risks ranging from manipulation and profiling to broader concerns about autonomy and control. Eric discusses his early work involving children's privacy, broadband privacy, and consumer protection, including efforts to strengthen privacy protections through the Federal Communications Commission and the Federal Trade Commission. He explains how the growth of the "free" Internet business model has created an environment in which individuals often exchange large amounts of personal information in exchange for access to online services, incentivizing extensive data collection and monetization.Debbie and Eric examine the current U.S. privacy landscape, including the sector-specific approach taken by laws such as HIPAA, the Gramm-Leach-Bliley Act, and COPPA. They discuss the Federal Trade Commission's role as the primary federal privacy regulator and how the agency's authority has historically relied on preventing deceptive and unfair practices rather than establishing broad data rights. The discussion explores the limitations of the notice-and-choice model, in which organizations disclose their practices through privacy policies that consumers rarely read or meaningfully negotiate, and how network effects can limit the practical choices available to individuals seeking to participate in modern digital platforms.The episode also covers the repeated attempts to pass comprehensive federal privacy legislation, including the American Data Privacy and Protection Act (ADPPA), the American Privacy Rights Act (APRA), and more recent proposals. Eric shares insights into the legislative challenges that have prevented these efforts from becoming law and discusses the policy debates surrounding data minimization, consumer rights, enforcement, and the relationship between privacy and broader concerns about the power of large technology companies. The conversation highlights why privacy remains one of the most important policy issues facing organizations, regulators, and consumers, and why meaningful reform continues to be difficult despite widespread public concern.By popular demand, Debbie Reynolds Consulting is now offering executive briefings on emerging data privacy risks and how companies can avoid them. To learn more, visit the Executive briefings page on my website.Support the showBecome an insider, join Data Diva Confidential for data strategy and data privacy insights delivered to your inbox. 

Send us Fan MailDoug Austin, Editor of eDiscovery TodayIn this episode of The Data Diva Talks Privacy, Debbie Reynolds, The Data Diva speaks with Doug Austin, Editor of eDiscovery Today, about how eDiscovery, data governance, privacy, and artificial intelligence are increasingly interconnected in modern organizations. Doug explains how eDiscovery has evolved from a litigation-focused discipline into a broader framework that supports investigations, audits, incident response, and privacy-related workflows such as data subject access requests.The conversation explores how AI is generating entirely new categories of data, including chatbot interactions, meeting transcripts, automated summaries, and AI-generated content, all of which may become evidence in legal and regulatory contexts. Debbie and Doug discuss how organizations are struggling to manage this expanding data landscape, particularly as employees adopt AI tools without fully understanding the implications for privacy, confidentiality, and data exposure.They examine real-world scenarios involving AI note-taking tools and meeting recordings, including cases where sensitive information is captured and shared beyond its intended audience. The discussion also highlights risks associated with uploading confidential information into public AI systems and the lack of awareness around how these tools handle and retain data.The episode further explores key legal developments, including litigation involving AI companies and disputes over data retention and production, as well as emerging questions around privilege and work product protections for AI-generated content. Debbie and Doug discuss how courts are beginning to address whether interactions with AI systems can be protected and the implications for both represented and self-represented individuals.The conversation emphasizes that AI is fundamentally reshaping how data is created, stored, and used, and that organizations must adapt their governance, legal, and privacy strategies to manage these risks effectively while maintaining defensible and compliant data practices.By popular demand, Debbie Reynolds Consulting is now offering executive briefings on emerging data privacy risks and how companies can avoid them. To learn more, visit the Executive briefings page on my website.Support the showBecome an insider, join Data Diva Confidential for data strategy and data privacy insights delivered to your inbox. 

Send us Fan MailRoss Saunders, Head of Ross G. Saunders ConsultingIn this episode of The Data Diva Talks Privacy, Debbie Reynolds, The Data Diva speaks with Ross Saunders, Head of Ross G. Saunders Consulting, about privacy engineering and the challenges organizations face when translating legal requirements into technical implementation. Ross shares his background in infrastructure, DevOps, and software architecture, explaining how his experience working with SaaS environments and data breaches led him to focus on bridging the gap between legal, security, and development teams.The conversation explores how privacy is often treated as a legal or compliance exercise, while in practice it requires integration into system design and development workflows. Debbie and Ross discuss how developers frequently receive requirements that do not align with legal intent, leading to inconsistencies in implementation and increased risk for organizations.They examine real-world challenges in applying privacy regulations, including age verification requirements and the classification of IP addresses, where technical realities may conflict with regulatory expectations. The discussion also addresses the limitations of focusing on specific technologies, such as cookies, rather than addressing broader issues related to data sharing and potential harm.The episode highlights practical examples of risk, including loyalty applications that collect extensive financial transaction data and the potential consequences if that data is exposed or misused. Debbie and Ross emphasize the importance of shifting toward harm-based approaches to privacy and ensuring that organizations understand the real-world impact of their data practices.The conversation also explores emerging risks associated with agentic AI and autonomous systems, including scenarios where systems are granted excessive access and cause unintended damage or data loss. Organizations must implement governance, oversight, and clear controls to ensure that innovation in AI does not introduce unnecessary risk.By popular demand, Debbie Reynolds Consulting is now offering executive briefings on emerging data privacy risks and how companies can avoid them. To learn more, visit the Executive briefings page on my website.Support the showBecome an insider, join Data Diva Confidential for data strategy and data privacy insights delivered to your inbox. 

Send us Fan MailTerri Lewis, Founder of Planet ConnectedIn this episode of The Data Diva Talks Privacy, Debbie Reynolds, The Data Diva speaks with Terri Lewis, Founder of Planet Connected, about privacy, data governance, and risk in smart cities and connected infrastructure. Terri shares her background in digital strategy and her work supporting collaboration between cities and technology providers, emphasizing the importance of building trust and transparency into smart city initiatives.The conversation explores how everyday systems such as water utilities, parking applications, and license plate readers collect and process personal data, often without individuals fully understanding the scope of that data collection. Debbie and Terri discuss how data from smart meters, for example, can reveal occupancy patterns and behavioral insights, and how location-based services and parking systems can introduce privacy risks through the collection of personal and financial information.They examine the role of third-party vendors and the challenges organizations face in managing data across multiple providers, including concerns about overcollection, lack of transparency, and unclear data ownership. Real-world examples highlight how individuals may be required to provide more data than expected for routine activities, raising questions about proportionality and necessity.The episode also explores broader IoT risks, including long device lifecycles, evolving capabilities through updates, and the increasing use of cameras and image-based technologies. Debbie and Terri discuss how advances in image recognition and facial recognition can enable identification of individuals in public spaces, creating new risks that existing legal frameworks may not fully address.The discussion emphasizes that organizations must take a proactive approach to data governance, anticipating potential misuse, addressing unintended consequences, and aligning technology deployment with public expectations and trust. As cities continue to adopt connected technologies, leaders must ensure that innovation is balanced with strong privacy, security, and accountability practices.By popular demand, Debbie Reynolds Consulting is now offering executive briefings on emerging data privacy risks and how companies can avoid them. To learn more, visit the Executive briefings page on my website.Support the showBecome an insider, join Data Diva Confidential for data strategy and data privacy insights delivered to your inbox. 

Send us Fan MailVibeke Specht, Co-founder of Peak Privacy and Author of “From GDPR Confusion to Privacy First Marketing”In this episode of The Data Diva Talks Privacy, Debbie Reynolds, The Data Diva speaks with Vibeke Specht, Co-founder of Peak Privacy and author of “From GDPR Confusion to Privacy First Marketing,” about privacy, data governance, and the broader societal impact of data-driven marketing practices. Vibeke shares her background in journalism, political science, and marketing, explaining how her work evolved into a focus on privacy as she recognized the deeper implications of data collection, tracking, and profiling.The conversation explores how GDPR is grounded in European history and fundamental rights, including protections against surveillance and misuse of personal data, and how this approach differs from more commercially driven data models often seen in the United States. Debbie and Vibeke discuss how marketing teams were among the first to confront the operational impact of GDPR, particularly through cookie regulations, consent requirements, and shifting expectations around transparency and accountability.They examine the evolution of the ad tech ecosystem, including third-party cookies, large-scale tracking, and the role of dominant platforms in shaping how data is collected, shared, and monetized. The discussion highlights how complex and opaque data flows make it difficult for both organizations and individuals to fully understand how personal data is used, creating risk for companies and limiting meaningful user control.The episode also explores how data practices influence behavior at scale, including the potential impact on democratic systems, decision-making, and public trust. Vibeke emphasizes the importance of moving beyond surface-level compliance and addressing the underlying structures that drive data collection and use, while organizations must balance innovation, competition, and responsible data practices in an increasingly complex regulatory environment.By popular demand, Debbie Reynolds Consulting is now offering executive briefings on emerging data privacy risks and how companies can avoid them. To learn more, visit the Executive briefings page on my website.Support the showBecome an insider, join Data Diva Confidential for data strategy and data privacy insights delivered to your inbox. 

Send us Fan MailBradon Rogers, Chief Customer Officer, IslandIn this episode of The Data Diva Talks Privacy, Debbie Reynolds, "The  Data Diva," speaks with Bradon Rogers, Chief Customer Officer, Island, about how organizations are addressing complex enterprise challenges related to data governance, privacy, and control. Bradon explains how Island was designed to solve persistent issues that companies face, including limited visibility into user activity, fragmented tools, and the difficulty of managing sensitive data across cloud applications, remote work environments, and emerging technologies.The conversation explores how organizations can move toward a more unified, practical approach to data management, where governance and privacy controls are embedded directly into how work is performed. Rather than relying on disconnected systems, Island enables companies to monitor and control how data is accessed and used in real time, helping to reduce risk while maintaining operational efficiency.Debbie and Bradon also discuss how modern enterprises are rethinking data governance as a business-critical function rather than just a compliance requirement. They highlight how privacy considerations are becoming more integrated into enterprise workflows, and how organizations can better align their security, privacy, and data strategies to support both protection and productivity in increasingly complex digital environments.This episode is sponsored by Island. We thank them for their support and for sharing insight into how organizations can better manage data governance and privacy in today's enterprise landscape."You can learn more at island.io, where Island is rethinking how enterprises secure data, gain visibility, and manage privacy—without getting in the way of how people work."By popular demand, Debbie Reynolds Consulting is now offering executive briefings on emerging data privacy risks and how companies can avoid them. To learn more, visit the Executive briefings page on my website.Support the showBecome an insider, join Data Diva Confidential for data strategy and data privacy insights delivered to your inbox. 

Send us Fan MailIn this episode of The Data Diva Talks Privacy, Debbie Reynolds, "The Data Diva," speaks with Michael Simon, Founder, Law+Data, LLC, about the intersection of privacy, data governance, and the real-world consequences of how data and technology are used today. The conversation moves beyond theory to examine how emerging technologies are already impacting individuals, organizations, and legal frameworks.Debbie and Michael explore recent events that highlight the growing risks associated with technology and data use, including a widely discussed incident in which a driver claimed a Tesla vehicle malfunction led to a crash, and another case involving a woman arrested for using AI-driven identification. These examples illustrate how reliance on automated systems, data interpretation, and emerging technologies can raise serious legal, privacy, and due-process concerns.The discussion examines how organizations and legal professionals must think more critically about data accuracy, accountability, and the assumptions built into technological systems. Michael provides insight into how legal frameworks struggle to keep pace with technological advancements and how misapplied or misunderstood data can lead to significant consequences for individuals.Debbie Reynolds, the Data Diva, and Michael also address the broader implications for businesses, including the importance of implementing strong data governance practices, ensuring transparency in how data is used, and understanding the legal exposure that can arise when decisions are driven by automated or data-dependent systems. The episode emphasizes that data governance and privacy are not abstract concepts but essential safeguards that directly affect real people and real outcomes.This conversation offers a grounded, practical perspective on how current events are shaping the future of privacy, law, and data responsibility, and why organizations must take a more deliberate, informed approach to managing data in an increasingly complex environment.By popular demand, Debbie Reynolds Consulting is now offering executive briefings on emerging data privacy risks and how companies can avoid them. To learn more, visit the Executive briefings page on my website.Support the showBecome an insider, join Data Diva Confidential for data strategy and data privacy insights delivered to your inbox. 

Send us Fan MailMichelle Finneran Dennedy, Chief Data Strategy Officer, Abaxx TechnologiesIn this episode, Debbie Reynolds, the Data Diva speaks with Michelle Finneran Dennedy, Chief Data Strategy Officer at Abaxx Technologies, about the evolution of privacy as a discipline and its intersection with data strategy, technology, and business operations.Michelle shares her professional journey from patent litigation into privacy leadership, including her experience building privacy programs and helping organizations operationalize privacy across complex environments. The conversation explores how privacy has evolved from a legal compliance function into a core business discipline that requires alignment across legal, engineering, and executive teams.Debbie and Michelle discuss the importance of translating complex regulatory and technical requirements into actionable practices that organizations can implement. They examine how organizations must move beyond reactive compliance approaches and instead develop forward-looking strategies that anticipate changes in regulation and technology.The discussion also explores how data strategy intersects with infrastructure, identity, and emerging technologies, including how systems are designed, how data is structured, and how organizations manage data across environments. Michelle highlights the importance of communication in bridging disciplinary gaps and ensuring that privacy concepts are understood and applied effectively.The episode emphasizes the need for cross-functional collaboration, practical implementation strategies, and systems that reflect both technical realities and the human impact of data use.By popular demand, Debbie Reynolds Consulting is now offering executive briefings on emerging data privacy risks and how companies can avoid them. To learn more, visit the Executive briefings page on my website.Support the showBecome an insider, join Data Diva Confidential for data strategy and data privacy insights delivered to your inbox. 

Send us Fan MailMerry Marwig, Vice President, Global Communications & Advocacy, Privacy4CarsIn this episode, Debbie Reynolds, the Data Diva, speaks with Merry Marwig, Vice President, Global Communications & Advocacy at Privacy4Cars, about privacy risks in connected vehicles and the expanding automotive data ecosystem.Merry explains that modern vehicles function as sophisticated data platforms that continuously collect and transmit data on drivers, passengers, and vehicle activity. The conversation explores the types of data collected, including location data, behavioral data, infotainment usage, diagnostic data, and other signals generated through connected systems, as well as how that data is shared across manufacturers, dealerships, service providers, insurers, and third-party technology providers.Debbie and Merry discuss the complexity of data flows within the automotive ecosystem, including the roles of controllers, processors, and third parties, and how these relationships create challenges for transparency, accountability, and consent. The discussion highlights how individuals often lack visibility into how their data is used and shared across multiple entities.The conversation also includes a discussion of Debbie Reynolds, the Data Diva's work on the Internet of Things Advisory Board report with the U.S. Department of Commerce, and how that work highlighted many of the same issues now seen in connected vehicles, including data sharing across ecosystems, lack of transparency, and challenges with governance and accountability in multi-party environments.Debbie and Merry examine consumer awareness gaps, including the fact that most individuals do not fully understand the extent of data collection in vehicles or how their information is used. They also discuss what happens to personal data when a vehicle is sold, transferred, or serviced, and the importance of tools and processes that allow individuals to manage, delete, or control their data across the vehicle lifecycle.The episode also covers regulatory developments impacting automotive privacy, the role of advocacy organizations in improving industry practices, and the importance of clear communication between companies and consumers. The discussion emphasizes the need for organizations to integrate privacy into product design and governance processes while balancing innovation and responsible data use.By popular demand, Debbie Reynolds Consulting is now offering executive briefings on emerging data privacy risks and how companies can avoid them. To learn more, visit the Executive briefings page on my website.Support the showBecome an insider, join Data Diva Confidential for data strategy and data privacy insights delivered to your inbox. 

Send us Fan MailIn this episode, Debbie Reynolds “The Data Diva” speaks with Evan Benjamin, President of Tier 3 Inc., about the growing challenges of privacy in AI systems, particularly in relation to inference, agent-based systems, and data lifecycle management.Evan shares his transition from IT, e-discovery, and information security into privacy, highlighting how the rapid adoption of large language models has exposed gaps in how organizations approach privacy and data protection. The conversation explores the distinction between security and privacy, emphasizing that security focuses on protecting systems while privacy focuses on purpose, data use, and fundamental rights.Debbie and Evan discuss the risks associated with AI-driven inference, including how systems generate insights about individuals based on context and historical data, often without user awareness or control. They also examine how AI memory and agent-based systems can extend data usage beyond original intent, raising concerns about purpose limitation and data minimization.The discussion further addresses challenges with data retention, logging, and traceability, as well as the difficulty of deleting data from AI systems once it has been incorporated into model training. Evan highlights the technical limitations of data erasure in machine learning models and the implications for privacy rights such as the right to be forgotten.Finally, the conversation explores issues related to data processing across multiple systems, including the complexity of managing controllers, processors, and sub-processors, as well as emerging risks related to liability when organizations deploy AI systems and autonomous agents.By popular demand, Debbie Reynolds Consulting is now offering executive briefings on emerging data privacy risks and how companies can avoid them. To learn more, visit the Executive briefings page on my website.Support the showBecome an insider, join Data Diva Confidential for data strategy and data privacy insights delivered to your inbox. 

Send us Fan MailIn this episode, Debbie Reynolds “The Data Diva” speaks with Mojisola Abi Sowemimo about the intersection of privacy, governance, and emerging technologies, with a focus on how organizations can better align data practices with regulatory expectations and ethical responsibilities.The conversation explores how organizations approach privacy in practice, including gaps between policy and implementation, and the challenges of operationalizing privacy requirements across complex systems. Mojisola discusses the importance of embedding privacy considerations early in system design, as well as the need for organizations to move beyond surface-level compliance toward more accountable and transparent data practices.Debbie and Mojisola also examine how global regulatory differences influence organizational behavior, the role of governance frameworks in managing data risk, and the importance of building internal awareness and accountability. The discussion highlights how organizations can strengthen their approach to privacy by aligning legal, technical, and operational perspectives while ensuring that data practices remain consistent with user expectations and regulatory requirements.By popular demand, Debbie Reynolds Consulting is now offering executive briefings on emerging data privacy risks and how companies can avoid them. To learn more, visit the Executive briefings page on my website.Support the showBecome an insider, join Data Diva Confidential for data strategy and data privacy insights delivered to your inbox. 

Send a textFederica Fornaciari, Full Professor and Academic Program Director for the Master's in Strategic Communications, National UniversityIn this episode, Debbie Reynolds "The Data Diva" speaks with Federica Fornaciari, Full Professor and Academic Program Director for the Master's in Strategic Communications at National University, about how communication, media narratives, and cultural values shape societies' understanding of privacy, technology, and artificial intelligence.Federica shares her background studying communication, journalism, and privacy research, including her work examining how media narratives in the United States and Europe have shaped public perceptions of privacy over time. The conversation explores how privacy is often framed as a fundamental human right in Europe, whereas in the United States, it is frequently treated as a consumer or transactional issue, shaping both regulatory approaches and public expectations.Debbie and Federica discuss the role of AI literacy in privacy protection, emphasizing that people increasingly share highly personal information with generative AI systems without fully understanding how their data may be collected, stored, or used. They also explore the ethical responsibilities of organizations developing AI technologies, as well as the importance of transparency, accountability, and the embedding of ethical values in algorithm design.The conversation also addresses emerging risks, including deepfakes, the erosion of public trust in digital information, and the challenges of identifying manipulated content. Debbie and Federica discuss the importance of media literacy and education in helping individuals recognize these risks while also acknowledging that technological detection tools often lag behind the creation of synthetic media.Finally, the discussion explores the risks of algorithmic inference in areas such as healthcare and decision making, the importance of keeping humans in leadership roles when using AI systems, and the need for ethical frameworks that protect human rights, avoid bias, and prioritize transparency and accountability. Federica concludes by emphasizing the importance of combining technology design, human literacy, and regulatory frameworks to create a more responsible global approach to privacy and AI governance.By popular demand, Debbie Reynolds Consulting is now offering executive briefings on emerging data privacy risks and how companies can avoid them. To learn more, visit the Executive briefings page on my website.Support the showBecome an insider, join Data Diva Confidential for data strategy and data privacy insights delivered to your inbox.

Send a textBob Carver, CEO, Cybersecurity BoardroomIn this episode, Debbie Reynolds speaks with Bob Carver, CEO of Cybersecurity BoaDebbie Reynolds “The Data Diva” talks to Bob Carver, CEO of Cybersecurity Boardroom, about the evolving cybersecurity and privacy risks created by emerging technologies, connected devices, and increasingly sophisticated threat actors.Bob shares his path into cybersecurity, beginning with a career managing commercial real estate before transitioning into information systems and eventually helping build one of the early internal security programs at Verizon Wireless. He reflects on how cybersecurity has evolved from basic perimeter defenses such as firewalls and intrusion detection systems into a far more complex environment where organizations must secure interconnected systems, APIs, cloud services, and AI technologies.The conversation explores several emerging risks associated with artificial intelligence systems, including model inversion attacks that allow attackers to extract sensitive or proprietary information from AI models, as well as the potential theft of entire AI models through repeated API queries. Debbie and Bob also discuss the security risks associated with agentic AI systems that have administrative permissions to interact with files, databases, or enterprise systems, highlighting the importance of strong guardrails and controlled access.Privacy risks related to connected devices are also discussed, including smart televisions and other IoT technologies that continuously collect and transmit user data to manufacturers and data brokers. Debbie and Bob examine the broader implications of large-scale data collection and the challenges individuals face in maintaining visibility and control over their personal information.The episode also covers common phishing attacks that mimic legitimate security alerts and the importance of verifying requests through official platforms. Finally, Bob discusses the potential future of cybersecurity, highlighting the role that zero-trust architectures and post-quantum encryption may play in strengthening long-term digital security.By popular demand, Debbie Reynolds Consulting is now offering executive briefings on emerging data privacy risks and how companies can avoid them. To learn more, visit the Executive briefings page on my website.Support the showBecome an insider, join Data Diva Confidential for data strategy and data privacy insights delivered to your inbox.

Send a textChuck Brooks, President, Brooks Consulting International and Adjunct Faculty, Georgetown UniversityIn this episode, Debbie Reynolds speaks with Chuck Brooks about why data privacy and cybersecurity are now strategic imperatives for organizations. The discussion includes Chuck's Forbes article, “Why Data Privacy Is a Strategic Imperative for Organizations,” and expands on its core themes in the context of today's rapidly evolving threat landscape.The conversation begins with the rapid evolution of artificial intelligence, including generative AI and agentic AI. Chuck explains how AI is being used not only for productivity and automation but also for sophisticated phishing campaigns, automated vulnerability discovery, ransomware operations, bot-driven attacks, and large-scale fraud. They discuss the risks of agentic AI operating autonomously without clear regulatory guardrails, as well as the dangers of poor data quality when AI systems rely on flawed or excessive data.Debbie and Chuck examine cybersecurity hygiene, including password management, multi-factor authentication, identity protection, social engineering threats, phishing resilience, segmentation of critical data, and the importance of assuming breach as part of an overall resilience strategy. They highlight why small and medium businesses are especially vulnerable in today's threat environment.The discussion explores the relationship between privacy and cybersecurity, clarifying how privacy is contextual and often elective, while cybersecurity focuses on protecting systems and data integrity. They examine oversharing on social media, identity exploitation, insider threats, trade secret protection, and why organizations must treat data as a strategic asset. The importance of building a culture of privacy within organizations is emphasized as a leadership responsibility rather than a compliance afterthought.IoT risks are addressed, including default passwords, connected devices as attack vectors, endpoint vulnerabilities, and real-world breaches involving unexpected networked devices. The episode also covers data retention risks, overcollection, data minimization, and the need for structured governance frameworks that prioritize high-value data.Finally, the conversation turns to quantum computing. Chuck explains different forms of quantum technologies, including quantum algorithms, sensing, and photonics, and discusses the potential impact of “Q Day” on encryption standards. They explore quantum-resistant algorithms, NIST guidance, and the convergence of quantum and AI as both transformative and disruptive forces.Support the showBecome an insider, join Data Diva Confidential for data strategy and data privacy insights delivered to your inbox.

Send a textEpisode e277- Tom Kemp The Data Diva Talks Privacy PodcastTom Kemp, Executive Director of the California Privacy Protection AgencyIn Episode 277 of The Data Diva Talks Privacy Podcast, Debbie Reynolds, the Data Diva, speaks with Tom Kemp, Executive Director of the California Privacy Protection Agency, about California's role as the de facto privacy bellwether in the United States and how regulatory expectations are shifting from policy development to operational enforcement and accountability.Debbie and Tom discuss key regulatory focus areas, including the Delete Request and Opt-Out Platform (DROP), Automated Decision-Making Technologies (ADMT), Opt-Out Preference Signals (OOPS), Global Privacy Control (GPC), cybersecurity audits, and privacy risk assessments. The conversation explores how these initiatives reflect a broader shift toward measurable governance, technical compliance, and demonstrable accountability.They also discuss how regulators assess data risk, emerging enforcement trends, and what companies should be thinking about now as privacy programs start and mature. Tom explains how organizations can prepare for evolving expectations around governance, risk management, and documentation, and what strong privacy governance looks like going forward.The episode concludes with Tom Kemp's message to organizations about accountability, risk awareness, and responsible innovation as privacy regulation continues to evolve alongside artificial intelligence and emerging technologies.Support the showBecome an insider, join Data Diva Confidential for data strategy and data privacy insights delivered to your inbox.

Send a textSupport the showBecome an insider, join Data Diva Confidential for data strategy and data privacy insights delivered to your inbox.

Send a textIn Episode 275 of the Data Diva Talks Privacy Podcast, Debbie Reynolds, the Data Diva, speaks with personal data privacy consultant Toin Berry about how personal data is collected, combined, inferred, and reused in ways that can significantly affect individuals without their awareness. The conversation focuses on how modern data ecosystems operate beyond direct data collection, emphasizing how inference and aggregation can shape outcomes for people in ways that are difficult to see and even harder to challenge.Throughout the episode, Debbie and Toin explore how personal data moves through complex networks that include platforms, data brokers, analytics firms, and secondary users. They discuss how information collected in one context can be repurposed in another, how inferred attributes can be treated as facts, and how predictive models can influence decisions about individuals in employment, housing, access to services, and social standing. The discussion also addresses how these practices affect autonomy and agency, particularly when individuals are unaware that profiles are being created about them based on behavioral signals rather than explicit disclosures.The conversation further examines the limits of commonly promoted privacy controls, such as deletion requests and consent mechanisms, when data has already been copied, enriched, or redistributed across multiple systems. Debbie and Toin talk about the role of data brokers, the recycling of personal data, and the challenges individuals face when trying to understand where their data travels and how it is ultimately used. They also compare approaches to privacy protection in different jurisdictions, including perspectives shaped by European data protection frameworks and U.S. sector based models, highlighting how cultural and regulatory differences influence expectations and outcomes.This episode also emphasizes the importance of education and data literacy in privacy conversations. Rather than focusing on fear or alarm, Debbie and Toin discuss the need for clearer explanations of how data-driven systems work, how inferences are generated, and what meaningful prevention looks like in practice. The discussion reinforces the idea that privacy is fundamentally about human impact, agency, and long-term consequences, and that understanding data use is essential for protecting people in increasingly complex digital environments.Support the showBecome an insider, join Data Diva Confidential for data strategy and data privacy insights delivered to your inbox.

Send us a textEpisode 274 – Liz MacPherson, Deputy Privacy Commissioner, Office of the Privacy Commissioner, New ZealandIn Episode 274 of The Data Diva Talks Privacy Podcast, Debbie Reynolds, The Data Diva, talks with Liz MacPherson, Deputy Privacy Commissioner at the Office of the Privacy Commissioner of New Zealand, about how privacy functions as a critical guardrail for innovation rather than a barrier to progress. The discussion focuses on New Zealand's purpose and context-based privacy framework and why strong privacy foundations enable faster, safer, and more trustworthy data use across government and industry. The conversation explores a landmark case involving the use of facial recognition technology in supermarkets, where regulators, businesses, and independent evaluators worked together to test effectiveness, necessity, and proportionality before deployment. Debbie and Liz unpack why biometric data demands heightened scrutiny, how privacy impact assessments and real-world trials can reduce risk, and why facial recognition is not a plug-and-play technology. They also discuss the importance of human oversight, data quality, access controls, transparency to the public, and the risks of bias and misidentification when systems are poorly governed. Debbie and Liz also examine New Zealand's Biometric Processing Privacy Code and its role in setting clear thresholds for biometric use, including limits on categorization and inference. The episode highlights why data retention is one of the most overlooked sources of organizational risk, how unnecessary data creates downstream harm, and why treating personal information as a treasure rather than an asset to be exploited builds long-term trust. Liz emphasizes that organizations succeed when they place people at the center of data decisions and design privacy as part of the full information lifecycle.Support the showBecome an insider, join Data Diva Confidential for data strategy and data privacy insights delivered to your inbox.

Send us a textIn Episode 273 of The Data Diva Talks Privacy Podcast, Debbie Reynolds, The Data Diva, talks with Kohei Kurihara, CEO and Founder of Privacy by Design Lab, about the relationship between privacy, trust, and innovation across Japan and the broader Asia-Pacific region. Kohei shares how his background in startups, blockchain, and digital identity led him to focus on privacy as a foundational element of sustainable technology.The discussion explores the distinction between security and privacy, including why technical safeguards alone cannot establish trust. Debbie and Kohei examine privacy by design as a proactive discipline, contrasting it with reactive compliance-driven approaches. They discuss why companies that embed privacy early can move faster, innovate responsibly, and build stronger relationships with users rather than slowing progress.The episode also examines cultural perspectives on privacy in Japan and Asia, including how collective values, family structures, and trust-based relationships influence attitudes toward data sharing. Kohei emphasizes that privacy expectations are shaped by history and culture, and that global frameworks must account for these differences. The conversation reinforces that trust, not compliance alone, is what ultimately determines whether technology is accepted and sustained.Support the showBecome an insider, join Data Diva Confidential for data strategy and data privacy insights delivered to your inbox.

Send us a textIn Episode 272 of The Data Diva Talks Privacy Podcast, Debbie Reynolds, The Data Diva, talks with Sean Pauzauskie, Medical Director at the Neurorights Foundation, about the emergence of neurorights and why brain data represents one of the most sensitive frontiers in privacy and human rights. Sean explains what neurorights are, how they developed from advances in neurotechnology, and why mental privacy, identity, and free will must be protected as technology becomes capable of reading and influencing brain activity.Debbie and Sean explore the five core neurorights, including mental privacy, fair access to mental augmentation, personal identity, free will, and freedom from algorithmic bias. They discuss real-world neurotechnology use cases, from medical treatment to consumer wellness devices, and why commercialization increases the urgency of governance. The episode examines risks such as discrimination, surveillance, and misuse of neural data, even in the absence of malicious intent.The conversation also highlights Colorado's groundbreaking neural data protections and how state-level action can address human rights gaps left by federal consumer-focused laws. Debbie and Sean discuss why states can serve as laboratories for rights-based protections, how neurorights differ from traditional data privacy, and what policymakers, companies, and individuals should be thinking about as neurotechnology becomes mainstream.Support the showBecome an insider, join Data Diva Confidential for data strategy and data privacy insights delivered to your inbox.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

Send us a textIn Episode 261 of The Data Diva Talks Privacy Podcast, Debbie Reynolds, The Data Diva, talks with Jesse Kirkpatrick, Co Director at the Mason Autonomy and Robotics Center at George Mason University, about the rapidly expanding adoption of generative artificial intelligence and the significant risks that accompany this high velocity of change. They examine the widespread excitement around AI and why its usefulness is intertwined with sensitive data that may be collected without boundaries or transparency, leaving the public in the dark. The discussion digs into why people cannot easily understand how their data is being used, whether informed consent is truly possible, and what happens when powerful systems learn from information that individuals never intended to share.Debbie and Jesse also evaluate how governments, major technology companies, and commercial applications rely on massive data acquisition to fuel model performance, raising questions about privacy protection, public safety, and whether surveillance harms can be reversed. They discuss the real dangers behind model hallucination, accuracy failures, security breaches, and malicious exploitation, especially when artificial intelligence is used for high stakes decisions without accountability.Listeners will learn why Jesse believes responsible innovation must precede scaled deployment and how transparency, enforceable obligations, and redress mechanisms can help society avoid severe consequences as these systems evolve. This episode highlights the urgent need for clear guardrails while encouraging deeper public understanding of how generative AI reshapes social trust, personal rights, and the boundaries of data use.Support the showBecome an insider, join Data Diva Confidential for data strategy and data privacy insights delivered to your inbox.

Send us a textEpisode 260 – Jon Bello: The Evolution of Privacy in the Philippines and Across AsiaIn this episode of The Data Diva Talks Privacy Podcast, Debbie Reynolds, The Data Diva, speaks with Jon Bello, Partner at MBS Law Offices and IAPP 2025 Vanguard of the Year, about how the Philippines has emerged as a regional leader in privacy and data protection. They discuss how the country transitioned from business process outsourcing compliance to a culture of national awareness, and how its unique cultural and legal frameworks continue to influence privacy in Asia. Jon explains that the Philippines was one of the first Asian nations to pass a comprehensive data privacy law after the EU Data Directive but before the GDPR. He and Debbie examine how the Filipino language lacks a direct translation for the word “privacy,” reflecting a family-centric culture that values openness and community. They explore how this cultural context has shaped attitudes toward data sharing and protection. Jon also highlights how the National Privacy Commission has creatively raised public awareness through social media, educational jingles, and outreach campaigns aimed at children.The discussion explores how the BPO industry contributed to the passage of the 2012 Privacy and Cybersecurity Laws and how many organizations now operate under three concurrent frameworks: U.S. privacy laws, such as HIPAA and PCI DSS, the Philippine Data Privacy Act, and the GDPR. Jon explains the importance of the Philippine requirement for a “privacy manual,” which goes beyond a privacy policy to define accountability and governance, as well as the legal requirement to register Data Protection Officers. Debbie and Jon also examine the region's growing focus on AI governance, including Japan's soft-law model and the Philippines' proposed registration system for high-risk AI. The episode highlights the cultural diversity and context-specific nature of Asia's privacy frameworks, underscoring their critical role in the global dialogue on privacy and technology.Support the show

Send us a textEpisode 259 – Andreea Lisievici Nevin: Building Global Privacy Leadership and CultureIn this episode of The Data Diva Talks Privacy Podcast, Debbie Reynolds, The Data Diva, speaks with Andreea Lisievici Nevin, Privacy, Digital, and AI Lawyer at PrivacyCraft, about how privacy leadership must extend beyond compliance to become an integral part of organizational culture and accountability. They discuss how privacy has evolved from a niche legal concern into a global business imperative that demands collaboration across legal, technical, and operational teams. Andreea explains that while many professionals understand the rules, the real challenge lies in translating those rules into effective, repeatable business processes. She and Debbie explore the difference between describing what compliance requires and operationalizing those requirements inside complex organizations.The discussion examines how privacy professionals serve as bridge builders between legal, business, and technical domains, using communication and practical governance to ensure accountability. Andreea describes the cultural differences between privacy leadership in the European Union and the United States, noting that U.S. privacy officers often take a more proactive and decision-making role, while EU data protection officers function as independent advisors rather than implementers. Debbie and Andreea also emphasize the importance of tone from the top, explaining that privacy culture cannot thrive without active leadership support and visible alignment with company values. They explore why accountability must be embedded through clearly defined roles, responsibilities, and reporting lines, rather than being treated as a checkbox exercise. The conversation also covers the role of certification in the profession and why credentials alone do not ensure true capability. Andreea explains that continuous learning, mentorship, and collaboration are essential for sustaining privacy excellence. The episode highlights how communication, trust, and shared ownership define mature privacy programs and how strong leadership helps organizations transform compliance into enduring value.Support the show

Send us a textEpisode 258 – Terry Bollinger: Understanding the Limits of Artificial IntelligenceIn this episode of The Data Diva Talks Privacy Podcast, Debbie Reynolds, The Data Diva, speaks with Terry Bollinger, retired technology analyst at MITRE, about the limits of artificial intelligence and the growing risks of relying on systems that only mimic human understanding. They discuss how large language models operate as mimicry machines, imitating intelligence rather than achieving it, and how this design choice leads to fundamental weaknesses in trust, accuracy, and accountability. Terry explains that AI models based on probability and pattern replication erase uniqueness, creating false confidence in their results. He warns that by averaging data rather than analyzing meaning, these systems blur important distinctions, making it difficult to detect errors, anomalies, or malicious activity. Debbie and Terry explore why true privacy and security depend on identifying outliers —the small deviations that reveal hidden threats, rather than relying on average trends.Terry describes how traditional security systems are built on clearly defined boundaries, data paths, and verification processes, while modern AI systems often remove those controls. He emphasizes that when data is distributed, reweighted, and stored probabilistically, it becomes nearly impossible to verify what has been learned, lost, or leaked. The conversation examines the risks of utilizing LLMs in sensitive environments, where transmitting confidential data to remote commercial systems can compromise containment and integrity. Terry discusses how interpolation, or the act of filling in the blanks when data is missing, leads AI to generate convincing but incorrect answers, what he calls “random noise masquerading as insight.” Debbie and Terry also examine why intelligence, wisdom, and comprehension cannot be replicated through scale or speed. The episode concludes with a reflection on the importance of human judgment, accountability, and boundary control in an era where automation is expanding faster than understanding.Support the show

Send us a textThe Data Diva Talks Privacy Podcast – Episode 257 with Gina King, Cyber vCISO and Communications Consultant, King and Company CapitalStruggling to bridge the gap between business and technology teams? In this episode, Gina King shares how building trust and understanding unlocks stronger security outcomes. She also explains why companies rushing into AI without cleaning up their data first are putting their organizations at serious risk.Gina and I discuss how she bridges communication between technical teams and business leadership, and why understanding motivations and emotions drives better collaboration. We explore how overlooked “folklore processes” create hidden risks, how insider threats and employee churn accelerate knowledge loss during the AI rush, and why privacy and cybersecurity must work symbiotically. Gina explains why data problems almost always precede privacy problems, the dangers of AI drift and misapplied answers, and the legal risks created by unclear contracts, consent gaps, and ambiguous rights to use AI.We also examine the growing problem of fake AI companies, data-siphoning tools, and the risk they pose to small businesses, and why business leaders must align their data story before adopting AI.This podcast reaches listeners in 140+ countries and 3,000+ cities and features leaders shaping global privacy, AI, and emerging technology strategy. If you are a business leader, CISO, or privacy professional, this episode will help you prevent AI chaos by fixing your data story and building trust between teams.Subscribe to The Data Diva Talks Privacy Podcast for more conversations with global leaders shaping the future of privacy, data, and emerging technology.#dataprivacy #datadiva #privacy #cybersecurity #AI #datagovernance #businessriskSupport the show

Send us a textEpisode 256 – Jennifer Wondracek, Director of the Law Library and Professor of Legal Research and Writing, Capital University Law School, ABA Women of Legal Tech HonoreeWhat happens when courts rely on fake cases created by AI? Jennifer Wondracek examines the risks associated with AI in legal research and education.On The Data Diva Talks Privacy Podcast, Debbie Reynolds, “The Data Diva,” speaks with Jennifer Wondracek, Director of the Law Library and Professor of Legal Research and Writing at Capital University Law School, and ABA Women of Legal Tech Honoree, about the risks of AI in legal research and the responsibility of lawyers and educators to ensure its proper use. Wondracek highlights how courts have already faced real-world consequences when AI systems generated fabricated cases, exposing serious risks to professional practice.She shares her perspective as a leader in law librarianship and legal technology, describing the epidemic of misattributed citations in legal filings and the dangers of allowing AI to revise legal writing without proper oversight. Wondracek explains why lawyers must verify sources rather than rely blindly on AI outputs, and why technology competency is now a critical requirement in the profession. She traces the shift from print to digital research and considers how AI represents the next stage of transformation. The discussion also addresses how legal education must adapt to prepare students for AI-driven research and practice, ensuring the next generation is ready to use these tools responsibly.This episode offers valuable insights not only to lawyers and educators but also to anyone curious about how AI is reshaping trust, accountability, and knowledge in fields that impact society as a whole.Hosted by Debbie Reynolds, “The Data Diva,” bringing global leaders together on privacy, cybersecurity, and emerging technology.  Support the show

Send us a textEpisode 255 – Don Morron, Founder and CEO of Highland Tech, AI Agents for EnterpriseWhat does it take to build resilience in a world of constant cyber threats? Don Morron shares strategies for adapting without losing control.On The Data Diva Talks Privacy Podcast, Debbie Reynolds, “The Data Diva,” interviews Don Morron, Founder and CEO of Highland Tech, AI Agents for Enterprise, about how executives can build resilience into their organizations in the face of a constantly evolving cyber threat landscape. Morron shares lessons from his leadership journey in cybersecurity and explains why resilience cannot be bolted on after the fact but must be embedded into enterprise systems from the very beginning.The conversation covers how AI is reshaping cybersecurity, both by enabling attackers with new tools and by empowering defenders with advanced capabilities. Morron provides practical insights into managing enterprise security operations in rapidly changing conditions without compromising organizational control. He stresses the importance of communication and collaboration across teams, highlighting how siloed approaches undermine resilience. The episode also explains why proactive governance and long-term planning are far more effective than reactive firefighting.These insights are useful not only for executives and security leaders but also for anyone interested in how organizations adapt to technology-driven risks and build strength in uncertain times.Hosted by Debbie Reynolds, “The Data Diva,” bringing global leaders together on privacy, cybersecurity, and emerging technology.Support the show

Send us a textEpisode 254 – Bryan Lee, Founder and General Partner, Privatus ConsultingWhy do privacy programs fail even when companies want to succeed? Bryan Lee explains why communication is the missing piece.On The Data Diva Talks Privacy Podcast, Debbie Reynolds, “The Data Diva,” welcomes Bryan Lee, Founder and General Partner at Privatus Consulting, to discuss why effective privacy programs succeed through strong communication rather than technical jargon. Lee explains how privacy engineering serves as a critical link between policy, compliance, and technical teams, and why clear communication is often the deciding factor in whether organizations achieve their privacy goals.He explains why many companies fail at privacy, despite genuine intent, often because coordination among stakeholders breaks down. Lee reflects on his own career path, transitioning from intelligence work to privacy consulting, and shares insights into how organizations can overcome communication barriers to develop programs that are both compliant and effective. The conversation also covers the risks of misjudging AI, particularly the mistake of treating systems as if they were human, and how this misunderstanding creates governance and operational problems.This episode offers strategies for bridging gaps, enhancing collaboration, and addressing complex issues, resonating with privacy leaders, compliance professionals, and anyone seeking to understand how effective communication drives successful outcomes in organizations.Hosted by Debbie Reynolds, “The Data Diva,” bringing global leaders together on privacy, cybersecurity, and emerging technology.Thanks to our Data Diva Talks Privacy Podcast Privacy Ambassador Sponsor, Piwik PRO. Piwik PRO is a privacy-first analytics and customer data platform that helps organizations to make informed decisions across their websites, apps, and ad campaigns. They bring an unprecedented level of data transparency, so you know exactly how your data is collected, used, and protected. It is very cool. Marketers gain valuable insights, while legal teams rest assured knowing that your client data remains protected, even as the privacy landscape evolves.  Learn more at piwik.pro. Enjoy the show.Support the show

Send us a textEpisode 253 – Priya Gnanasekaran, Senior Security Engineer at LAB3 (Australia)Can AI be both a risk and a defense? In this episode, Priya Gnanasekaran shares how organizations can manage today's most pressing cybersecurity challenges.On The Data Diva Talks Privacy Podcast, Debbie Reynolds, “The Data Diva,” speaks with Priya Gnanasekaran, Senior Security Engineer at LAB3 (Australia), about the complex challenges cybersecurity leaders face with AI, IoT, and cloud security. Drawing on her decade-long career spanning DevSecOps, engineering, and operations, Gnanasekaran explains why cybersecurity cannot be reduced to a single field but must be understood as an amalgamation of multiple interconnected disciplines. She highlights the distinction between IT and cybersecurity and explains why this distinction is crucial for executives making risk and investment decisions.The conversation examines AI's dual role in cybersecurity, acting both as a new attack vector and as a defensive tool that, when used responsibly, can strengthen organizational security. Gnanasekaran also details the risks of shadow AI and unmonitored enterprise use, exposing businesses to unmanaged vulnerabilities. She addresses weaknesses in IoT ecosystems, including outdated devices and hardware flaws, and argues that these cannot be solved through patchwork responses. Instead, she emphasizes the importance of “shifting left” by embedding security earlier in DevSecOps processes. Gnanasekaran stresses that cybersecurity cannot be treated like a fire department that responds only after damage has been done.This discussion offers valuable lessons on resilience, innovation, and proactive strategy, applicable not only to security professionals but also to anyone interested in understanding how digital systems can be better protected and managed.Hosted by Debbie Reynolds, “The Data Diva,” bringing global leaders together on privacy, cybersecurity, and emerging technology.Support the show

Send us a text

Send us a textIn episode 251 of The Data Diva Talks Privacy Podcast, host Debbie Reynolds, “The Data Diva,” welcomes Ilia Dubovtsev, Founder of Dub Consulting, joining from Moscow, Russia. he discussion centers on the complexities of privacy in the workplace and how emerging technologies, especially AI, are reshaping the boundaries of personal data and institutional responsibility. Ilia shares his framework for operationalizing privacy—built on the principles of accountability, fairness, and balancing interests, and explains why this model is essential when managing employee data in digitally driven environments.Ilia shares his belief that privacy is the maximum expression of individual liberty. He developed a three-pillar framework for privacy programs: accountability, balance of interest, and fairness. He explains how these principles can be applied across jurisdictions, whether in Russia, Europe, or the United States. Despite the United States' lack of a comprehensive federal privacy law, Ilia notes that core principles like non-discrimination and transparency often serve as common ground for workplace privacy protections.Debbie and Ilia dive deep into the complexities of employee privacy, comparing regulatory and cultural variations. They acknowledge that workplace data, often governed by contract law, labor law, and surveillance practices, is uniquely sensitive because employees have fewer choices about whether and how their data is collected. The conversation shifts to the influence of AI in the workplace. Ilia envisions AI empowering employees by reducing dependency on traditional corporate structures, potentially shifting employer-employee dynamics to a more equitable “peer” relationship. He proposes a new privacy policy model that includes (1) transparent data practices, (2) distinct policy boundaries across employment stages, and (3) accessible remedies for challenging data misuse. Ilia stresses the need for literacy, both technical and legal, to protect workers and hold employers accountable.The episode concludes with a thoughtful exchange on liberty, trust, and the potential of fair AI governance. Ilia emphasizes that privacy must be preserved through principled regulation and public education, rather than a proliferation of fragmented, burdensome rules. He cites the U.S. scholarly conversation around the “duty of loyalty” and calls for frameworks that ensure both data accountability and empowerment for individuals.#EmployeePrivacy #GlobalPrivacyFramework #AIinWorkplace #DubConsulting #PrivacyRights #DigitalGovernance #DataLiberty #WorkplaceEthics #AIandHR #PrivacyLiteracySupport the show

Send us a textIn episode 250 of The Data Diva Talks Privacy Podcast, host Debbie Reynolds, “The Data Diva,” welcomes Marianne Mazaud, Co-Founder of AI ON US, an International Executive Summit Focused on Responsible Artificial Intelligence, co-created with Thomas Lozopone. They explore the powerful relationship between AI, privacy, and trust, emphasizing how leaders can take actionable steps to create inclusive and ethically grounded AI systems.Marianne shares insights from her extensive experience in creative performance marketing and brand protection, including how generative AI technologies have created both opportunities and new risks. She stresses the importance of privacy and inclusion in AI governance, especially in high-risk sectors like healthcare and education.The conversation moves to public trust in AI. Marianne references a study revealing widespread distrust in AI systems due to cybersecurity concerns, algorithmic bias, and lack of transparency. She highlights the need to involve more diverse voices, including individuals with disabilities and children, in the development of emerging technologies. Marianne and Debbie also examine the role of data privacy in consumer trust, citing a PricewaterhouseCoopers report showing that 83% of consumers believe data protection is essential to building trust with businesses.They compare AI regulatory landscapes across the European Union and the United States. Marianne outlines how the EU AI Act places joint responsibility on AI developers and providers, which can introduce compliance complexities, especially for small businesses. She explains how these regulations can be difficult to implement retroactively and may impact innovation when not considered early in the development process.Marianne closes by introducing the AI On Us initiative and the International Summit on Responsible AI for Executives. These efforts are designed to support leaders navigating AI governance through immersive workshops, best practices, and applied exercises. She also describes the Arborus Charter, a commitment to gender equality and inclusion in AI that has been adopted by 150 companies globally.They discuss the erosion of public trust in AI and the contributing role of biased algorithms, black-box decision-making, and regulatory fragmentation across regions. Marianne describes the uneven distribution of protections for vulnerable populations, such as children and persons with disabilities, and the failure of many AI systems to account for culturally or biologically diverse user bases. She emphasizes that privacy harms are not only about data collection but also about downstream effects and misuse, especially in sectors like healthcare, hiring, and public policy.Debbie and Marianne contrast the emerging regulatory models in the United States and the European Union, noting that the U.S. often lacks forward-looking obligations for AI developers, whereas the EU imposes preemptive risk requirements. Despite these differences, both agree that building AI systems that are trustworthy, explainable, and fair must become a global imperative. Marianne closes by describing how AI on Us was founded to help global executives take practical, values-driven steps toward responsible AI. Through events, tools, and shared ethical commitments, the initiative encourages leaders to treat AI responsibility as a competitive advantage, not just a compliance obligation.#AIandPrivacy #ResponsibleAI #Governance #SyntheticContent #TrustworthyAI #InclusiveTech #AlgorithmicAccountability #PrivacyHarms #EtSupport the show

Send us a textIn episode 249 of The Data Diva Talks Privacy Podcast, host Debbie Reynolds, “The Data Diva,” welcomes Marlyse McQuillen, Vice President of Regulatory Compliance, Privacy, and AI at IntegraConnect LLC. Their conversation offers a multidimensional exploration of privacy, from professional ethics and emerging legal conflicts to education policy and AI governance.Marlyse shares her journey into privacy law, which began during her work as a corporate attorney and expanded through roles in sectors such as health care, finance, and security. She reflects on her professional evolution and her aspirations to bring her cross-industry expertise to companies, especially as organizations increasingly confront regulatory pressure in the areas of consumer data and artificial intelligence.The conversation dives into privacy issues in healthcare, where Marlyse emphasizes the risks of digital health data in a landscape that continues to shift toward value-based care. She highlights how HIPAA and HIPAA adjacent laws or obligations create complexities in addressing data outside of traditional clinical systems. This becomes especially urgent when companies face financial instability. Marlyse details the example of 23AndMe, a major bankruptcy involving genetic data, in which states raised objections to the sale of consumer health information, and the court ultimately appointed a consumer privacy ombudsman. She and Debbie underscore the long-term damage to trust when sensitive personal data is treated as a transferable asset during bankruptcy proceedings.The discussion also touches on public digital exposure through the lens of the “Coldplaygate” incident, where a viral Kiss Cam moment led to the resignation of a company CEO. Marlyse and Debbie reflect on how these seemingly lighthearted digital moments can carry real consequences, especially in an era of high surveillance and online amplification. They emphasize the importance of discretion and privacy boundaries, even in public settings.Marlyse brings a strong policy perspective, advocating for legislative updates to genetic privacy laws and more comprehensive protection for children in schools. She is actively working with the Plunk Foundation to build a digital literacy curriculum that educates young people on safe AI use and privacy rights. She envisions federal mandates for consumer data protection education as a way to create foundational awareness early in life.The episode closes with personal reflections on the rewarding yet difficult work of privacy leadership, the importance of soft skills development, and Marlyse's creative approach to privacy education, including a song she wrote to raise awareness about data rights. Throughout, she champions practical reforms, better breach responses, and a cultural shift toward accountability in both public and private uses of technology.#DigitalHealthPrivacy #GeneticData #AIinEducation #ConsumerTrust #Coldplaygate #PrivacyEducation #PlunkFoundation #PrivacyBankruptcy #PrivacyLeadership #DigitalLiteracy #DataRightsSupport the show

Send us a textIn episode 248 of “The Data Diva” Talks Privacy Podcast, Debbie Reynolds talks to  Damilola Adenuga-Taiwo, a cybersecurity and compliance professional with extensive expertise in payment systems, PCI DSS, ISO standards, and governance frameworks. We discuss his unconventional path into the field, beginning with teaching postgraduate technology courses and evolving into global consulting roles focused on cybersecurity risk, assessments, and compliance. Damilola explains the critical role of standards like PCI DSS in securing cardholder data, how global payment brands shaped their adoption, and why such frameworks succeed even without legal mandates.We explore the nuanced differences between privacy and cybersecurity, the challenges of implementing compliance in high-friction environments such as digital payments, and how financial institutions have effectively balanced innovation with data protection. Damilola also explores the convergence of security and privacy, illustrating how standards require organizations to consider not only what data is collected, but also why, for how long, and under what conditions it must be deleted.A major theme of the episode is the growing concern over AI misuse, ranging from deepfakes and fraud to the psychological implications of relying on generative AI daily. Damilola reflects on how tools like ChatGPT are rapidly transforming work habits, raising ethical questions about digital dependency, and blurring the line between convenience and risk. We also discuss the widening regulatory gap, the need for proactive standards, and how cybersecurity professionals can bridge the chasm between policy, practice, and public trust.This episode offers practical and philosophical insights for anyone grappling with the accelerating pace of AI, the rigor of compliance, and the evolving definitions of data responsibility. We hope for a future where robust compliance frameworks, informed users, and ethical innovation collaborate to ensure digital safety and personal autonomy.Support the show

Send us a textIn episode 247 of “The Data Diva” Talks Privacy Podcast, Debbie Reynolds talks to  Michael Robbins, Social Entrepreneur and Civic Builder, and a visionary in building human-plus-digital learning ecosystems. We discuss his decades-long journey at the intersection of education, technology, and community, from grassroots innovation to White House policy. Michael shares a compelling vision for the future of AI in education, centered on empowering individuals to create and control their own AI narratives. He introduces his data model, called DOTES (Do, Observe, Tell, Explore, Show), which captures real-world learning experiences and enables the training of personalized AI agents grounded in data integrity and digital personhood.Our conversation explores the concept of implication models, AI systems that learn from and work for people, rather than exploiting their data. Michael draws parallels between decentralized data governance and the design of AI trusts, where individuals have full control over their digital identities and contributions. We also explore the limitations of current large language models and discuss new frameworks that could rebuild AI from the ground up, centering privacy, consent, and community.Together, we envision a future where youth and adults alike use AI not as a replacement for human intelligence but as a tool for self-expression, empowerment, and democratic participation. This episode is a masterclass in AI ethics, digital sovereignty, and the urgent need to shift from extractive technologies to human-first ecosystems. We hope for a future where data privacy is not just a legal checkbox, but a fundamental principle of technological design and societal infrastructure.Support the show

Debbie Reynolds, Chief Data Privacy Officer and host of “The Data Diva Talks Privacy” podcast, discusses the challenges parents face in protecting their children online, and simple habits users can adopt to take back control of their privacy. She also discusses the growing recognition among companies that excessive data collection poses significant risks. Key Takeaways:  How consumer expectations for data are privacy changing The asymmetrical relationship between consumers and companies regarding data privacy How companies can scale a human‑centric approach to privacy The importance of decentralization in future data management Guest Bio: Debbie Reynolds—aka “The Data Diva”—is a globally recognized technologist, thought leader, and advisor in data privacy and emerging technology. With over 20 years of experience, she has delivered keynote talks for major organizations like Coca-Cola, Johnson & Johnson, PayPal, TikTok, and Uber. Her insights have been featured in leading media outlets, including The New York Times, Forbes, Bloomberg, and Wired. Debbie hosts the #1 global award-winning podcast, “The Data Diva Talks Privacy,” which reaches listeners in over 120 countries. Identity Review has named her one of the Global Top Eight Privacy Experts, and the European Risk Policy Institute has named her a Top 30 CyberRisk Communicator. She also chairs the IEEE Cyber Security Committee for the Next Generation Connectivity Systems Privacy Labeling Project. ---------------------------------------------------------------------------------------- About this Show: The Brave Technologist is here to shed light on the opportunities and challenges of emerging tech. To make it digestible, less scary, and more approachable for all! Join us as we embark on a mission to demystify artificial intelligence, challenge the status quo, and empower everyday people to embrace the digital revolution. Whether you're a tech enthusiast, a curious mind, or an industry professional, this podcast invites you to join the conversation and explore the future of AI together. The Brave Technologist Podcast is hosted by Luke Mulks, VP Business Operations at Brave Software—makers of the privacy-respecting Brave browser and Search engine, and now powering AI everywhere with the Brave Search API. Music by: Ari Dvorin Produced by: Sam Laliberte

Send us a textWelcome to IoT Coffee Talk #239 where we have a chat about all things #IoT over a cup of coffee or two with some of the industry's leading business minds, thought leaders and technologists in a totally unscripted, organic format. Thanks for joining us. Sit back with a cup of Joe and enjoy the morning banter.This week, Olivier, Debbie, Rob, Pete, Bill, and Leonard jump on Web3 to talk about:BAD KARAOKE! "The Needle Lies", QueensrycheRob knows Geoff Tate!Debbie's Data Diva podcast hits 500,000 downloads!!Olivier gives his take on IoT. What is it and does it need a name?Why is it so easy to say "solution" but difficult to mean "solution"?The big GenAIoT issue - latencyThe need for specialized AI for the specialness of edge use casesAutonomous is not around the corner. Sorry!Techno digestion issues and enterprise tech barfingWhat happened to BIG DATA!!?!?!?!The influence of privacy and pricing on on-premises big dataThe fabric trend in ludicrous data lakes and housesCloud has been eating open source's lunchRegulation is the 900lb constraint in the roomZero Trust IoT - what is it?It's a great episode. Grab an extraordinarily expensive latte at your local coffee shop and check out the whole thing. You will get all you need to survive another week in the world of IoT and greater tech!Thanks for listening to us! Watch episodes at http://iotcoffeetalk.com/. We support Elevate Our Kids to bridge the digital divide by bringing K-12 computing devices and connectivity to support kids' education in under-resourced communities. Please donate.

Thursday, September 26th, 2024Today, the Jack Smith 180 page immunity briefing is due today; every Teamsters union in Florida has endorsed Kamala Harris; a Wisconsin mayor is caught stealing a ballot drop box; Alabama Republicans are working to block Glock switches which are like bump stocks for handguns; Georgia Democrats are suing Brian Kemp to force an ethics investigation into the State Elections Board; the House passes a clean government funding bill and are now on break until after the election; Hurricane Helene will jump to a category 4 before landfall in Florida; a top Muslim organization has endorsed Kamala Harris; and the Supreme Court refuses to stay the execution of Marcellus Williams; and Allison delivers your Good News. For a limited time, HomeChef is offering you 18 Free Meals, plus Free Shipping on your first box, and Free Dessert for Life. At https://www.HomeChef.com/DAILYBEANS.Join AG At ‘Creatives for Harris' Virtual Rally 9.26.24 9PM ET, 6PM PT Registration LinkHarris Campaign Social Media Toolkit (kamalaharris.com)Give to the Kamala Harris Presidential CampaignKamala Harris — Donate via ActBlue (MSW Media's Donation Link)Come See AG Saturday, September 28th At The Sexy Liberal Save The World Comedy Tour!Phoenix, Arizona - Get Tickets at: https://sexyliberal.comGuests:Generation Data Co-Founders Nancy Stalnaker (Data Diva) and Matt Mawhinneygenerationdata.orgA Special Excel Training For Daily Beans Listeners!Saturday, October 12 · 10am - 1pm PDTgenerationdata.org/daily-beansStoriesWisconsin mayor carts away absentee ballot drop box, says he did nothing wrong (CNN)Democrats sue over Georgia rules they say could block election certifications (CBS News)GOP lawmakers now back Glock switch ban after mass shooting at Birmingham Hush lounge (AL.com)Every Teamsters union in Florida backs Kamala Harris for President (Florida Politics)Top Muslim-voter organization endorses Harris as Middle East conflict escalates (AP News)Missouri executes Marcellus Williams despite questions over evidence, after Supreme Court denies final bid for delay (CBS News) From The Good NewsWorkforce Innovation and Opportunity Act (dot.gov)The Veterans Access, Choice And Accountability Act Of 2014 (house.gov)The Charlatans - Weirdo HD (YouTube)Inhibition of GSK3α,β rescues cognitive phenotypes in a preclinical mouse model of CTNNB1 syndrome (embopress.org)Researchers Identify Possible Treatment for Rare Disorder (tufts.edu)She's Fly focuses on quality outdoor gear made for women, by women (shesfly.com)So What Else (Food Bank And More | DC Area | sowhatelse.org)If any DC area listeners can help, please email info@sowhatelse.orgCheck Your Voter Registration!vote.orgThere is a new “Harris For President” Patreon tier:https://www.patreon.com/muellershewrote/membership Check out other MSW Media podcastshttps://mswmedia.com/shows/Subscribe for free to MuellerSheWrote on Substackhttps://muellershewrote.substack.com Follow AG and Dana on Social MediaDr. Allison Gill https://muellershewrote.substack.comhttps://twitter.com/MuellerSheWrotehttps://www.threads.net/@muellershewrotehttps://www.tiktok.com/@muellershewrotehttps://instagram.com/muellershewroteDana Goldberghttps://twitter.com/DGComedyhttps://www.instagram.com/dgcomedyhttps://www.facebook.com/dgcomedyhttps://danagoldberg.comHave some good news; a confession; or a correction to share?Good News & Confessions - The Daily Beanshttps://www.dailybeanspod.com/confessional/ Listener Survey:http://survey.podtrac.com/start-survey.aspx?pubid=BffJOlI7qQcF&ver=shortFollow the Podcast on Apple:The Daily Beans on Apple PodcastsWant to support the show and get it ad-free and early?Supercasthttps://dailybeans.supercast.com/OrPatreon https://patreon.com/thedailybeansOr subscribe on Apple Podcasts with our affiliate linkThe Daily Beans on Apple Podcasts