Podcasts about data privacy

Is your personal data truly yours anymore? In this urgent and eye-opening episode of Moped Outlaws, cybersecurity expert Thomas Stocking returns to help us navigate the escalating chaos of digital life—where identity theft, AI blackmail, and data cartels are no longer science fiction. Whether you're a digital minimalist or a plugged-in power user, this is […]

John Pavolotsky is a partner at Stoel Rives in San Francisco. He is co-chair of the firm's AI, Privacy & Cybersecurity group and focuses his practice on data privacy, information security, and complex technology transactions. He has also been chair of the Intellectual Property Section of the California Lawyers Association.  John has taught Technology Transactions Law at the UC Davis School of Law and Comparative Privacy Law at the Santa Clara University School of Law. John has also guest lectured on technology and privacy law topics at the University of California, Berkeley, Haas School of Business; the University of San Francisco School of Management; and Stanford University. References: John Pavolotsky on LinkedIn John Pavolotksy at Stoel Rives Timeline of discussions (House, Senate) leading to a final decision on a 10-year moratorium on state-level AI laws (final deadline: July 4, 2025), Techcrunch Texas Legislature Passes House Bill 149 to Regulate AI Use (Nelson Mullins) Colorado AI Act California Privacy Protection Agency: Draft Automated Decision-making Technology Regulations California Gov. Newsom vetoes AI safety bill that divided Silicon Valley (September 2024), NPR Poland puts pausing enforcement of the AI Act on EU ministers' table (June 2025, MLex - paywalled) A Brief Overview of the Federal Trade Commission's Investigative, Law Enforcement, and Rulemaking Authority (FTC)

In law school, Naresh was a Document Review Trainee,For about five years, he has worked in privacy.Naresh was a Specialist at Alliance Pro,We will talk about his past and where his career will go!

Data integrity, executive skepticism, and turning AI-driven time savings into real gains—Paul Roetzer and Cathy McPhillips answer your questions from our latest Scaling AI class and offer informative, candid answers. Show Notes: Access the show notes and show links here Timestamps: 00:00:00 — Intro 00:04:51 — Question #1: How do we ensure data integrity, security, and privacy when we scale AI? 00:07:24 — Question #2: What exactly is an AI roadmap? 00:12:30 — Question #3: How can we maintain meaningful human oversight when AI systems operate at a speed that exceeds human comprehension?00:14:47 —  Question #4: How do you feel about the impact of AI on highly regulated industries where adoption has been slower? 00:16:50 — Question #5: How does change management need to evolve in response to the rapid development of AI tools? 00:18:54 — Question #6: Changes are happening so quickly. How can professionals keep up? Are there trusted resources that stay current with innovations? 00:23:11 — Question #7: Do you have any tips for creating a tailored AI learning curriculum versus a “one-size-fits-all” approach? 00:24:51 —  Question #8: For someone passionate about AI but not in a leadership position, how can i initiate change at an individual level? 00:28:42 — Question #9: How can you address resistance to change and skepticism toward AI, especially when the tools are available, but usage lags? 00:30:47 —  Question #10: What's your advice for someone leading a lean team who needs to pitch AI to executives with no time or interest in experimentation? 00:31:41 — Question #11: If a large organization has rolled out something like Copilot but no one is talking about AI or expanding beyond it, what are some tactical next steps to drive broader AI engagement? 00:34:21 — Question #12: As a director in higher ed, how can I motivate leadership to pursue something like Ohio State's “AI Fluency” initiative? 00:38:00 — Question #13: Which AI tools do you like the best, and do certain ones work better for specific industries? How do you personally evaluate and select them? 00:40:49 — Question #14: How can startups or innovators best use Problems GPT, especially for category creation? Could you walk through an example?  00:45:54 — Question #15: What excites you most about AI's potential for startups right now? 00:49:29 — Question #16: Have you seen companies using AI-generated efficiency gains to reinvest in people, like offering shorter workweeks or well-being benefits? This week's episode is brought to you by MAICON, our 6th annual Marketing AI Conference, happening in Cleveland, Oct. 14-16. The code POD100 saves $100 on all pass types. For more information on MAICON and to register for this year's conference, visit www.MAICON.ai. Visit our website Receive our weekly newsletter Join our community: Slack LinkedIn Twitter Instagram Facebook Looking for content and resources? Register for a free webinar Come to our next Marketing AI Conference Enroll in our AI Academy 

Bill Fitzgerald is a privacy activist and vociferous critic of the data protection practices of Big Tech. In this week's episode Bill came on to talk about the data privacy implications of putting AI in...

Today's guest is Dr. Ankur Sharma, Head of Medical Affairs for Medical Devices and Digital Radiology at Bayer. Dr. Sharma joins Emerj Editorial Director Matthew DeMello to explore the complex intersection of AI, medical devices, and data governance in healthcare. Dr. Sharma outlines the key challenges that healthcare institutions face in adopting AI tools, including data privacy, system interoperability, and regulatory uncertainty. He also clarifies the distinction between regulated predictive models and unregulated generative tools, as well as how each fits into current clinical workflows. The conversation explores the evolving roles of the FDA and EU AI Act, the potential for AI to bridge clinical research and patient care, and the need for new reimbursement models to support digital innovation. This episode is sponsored by Medable. Learn how brands work with Emerj and other Emerj Media options at emerj.com/ad1. Want to share your AI adoption story with executive peers? Click emerj.com/expert2 for more information and to be a potential future guest on the ‘AI in Business' podcast!

What can your Google searches reveal about your personality? In this episode of Remarkable People, Guy Kawasaki explores the fascinating world of psychological targeting with Sandra Matz, Professor at Columbia Business School. Matz shares eye-opening insights about how our digital footprints expose our deepest behaviors. She reveals how companies predict our personality through social media posts, explains the surprising link between language and emotional states, and discusses why data privacy isn't just about personal convenience—it's about protecting ourselves in an uncertain future. Whether you're concerned about data security or curious about what your online behavior reveals about you, this episode provides essential insights for navigating our increasingly digital world.Listen to Remarkable People here: **https://podcasts.apple.com/us/podcast/guy-kawasakis-remarkable-people/id1483081827**Visit the Rapid Response website here: https://www.rapidresponseshow.com/See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

What's shaping the future of B2B marketing? Inspired by The Future of Commerce article on B2B trends, this episode explores the four foundational shifts that are redefining how businesses reach, convert, and retain customers in 2025.We break down the rise of AI-powered prediction and automation, the new rules of privacy-centric marketing, the pivot to meaningful content engagement, and the evolution from transactional outreach to vibrant community building. The marketing game has changed—and these are the playbook updates worth knowing.What You'll Learn in This Episode:1. AI and Automation Are Now Table StakesAI is moving from time-saving tool to strategic driverPredictive analytics helps marketers anticipate customer needs before they're expressedAutomation enhances productivity while enabling hyper-personalized campaigns at scale2. Privacy Is the New Currency of TrustFirst-party data is replacing third-party cookies as the gold standardBrands must earn the right to analyze data through clear opt-ins and transparent policiesTrust-first approaches outperform short-term data grabs3. Content Is Shifting from Volume to ValueVideo reigns in B2B—especially explainers, expert Q&As, and how-tosThought leadership now hinges on originality, relevance, and subject-matter depthGoogle rewards brands who demonstrate genuine authority—not just keyword stuffing4. Community Is the New Conversion EnginePrivate digital communities are building brand loyalty through peer engagementEmployee advocacy turns internal teams into trusted brand ambassadorsStrong communities humanize the brand and elevate credibilityKey Takeaways:AI isn't just automating B2B marketing—it's driving smarter, faster decision-makingData privacy is no longer a compliance checkbox—it's a brand differentiatorEngagement trumps exposure—content must inform, not just attractBuilding trust through community and advocacy creates long-term brand equitySubscribe to our podcast for expert insights on digital marketing, customer trust, and B2B growth strategies. Visit The Future of Commerce for in-depth trend reports and real-world examples of marketing evolution in action. Share this episode with marketing leaders, content creators, and anyone shaping the future of business engagement.

This special remastered episode of the Lawyerist Podcast features Stephanie's conversation with Geoff Woods, author of The AI-Driven Leader. We're re-releasing it due to positive feedback on the depth of this discussion, ensuring you'll gain new insights and "aha!" moments with every listen.  In this episode, we explore AI's transformative power, viewing it not as a threat, but as a liberator that enhances our work. We dive into the five core human skills to emphasize in an AI-driven world: strategic thinking, problem-solving, communication, collaboration, and creation. We demonstrate how to leverage AI strategically, from evaluating business plans to acting as a growth-minded board member, and you'll hear how we're integrating AI into our own leadership meetings.  Geoff shares real-world examples of using AI as a "thought partner" to stress-test major strategic decisions, even creating an "AI board of advisors." He also provides practical applications for lawyers, such as using AI to review NDAs, stress-test legal arguments, and role-play closing arguments with AI as your jury. To guide your own AI journey, Geoff outlines his "CRIT" framework (Context, Role, Interview, Task) for effective prompting and highlights the importance of understanding AI model settings for data privacy and confidentiality.  Listen to our other episodes on the AI revolution:  #555: How to Use AI and Universal Design to Empower Diverse Thinkers with Susan Tanner Apple Podcasts | Spotify | Lawyerist   #553: AI Tools and Processes Every Lawyer Should Use with Catherine Sanders Reach Apple Podcasts  Spotify  Lawyerist     #550: Beyond Content: How AI is Changing Law Firm Marketing, with Gyi Tsakalaki and Conrad Saam: Apple Podcasts | Spotify | Lawyerist    Have thoughts about today's episode? Join the conversation on LinkedIn, Facebook, Instagram, and X!  If today's podcast resonates with you and you haven't read The Small Firm Roadmap Revisited yet, get the first chapter right now for free! Looking for help beyond the book? See if our coaching community is right for you.  Access more resources from Lawyerist at lawyerist.com.  The AI-Driven Leader   Chapters/Timestamps:  0:00 - Episode Introduction and Why This Remastered Version is Special   1:22 - AI as the Next Big Shift for Lawyers   6:28 - Geoff Woods: Redefining Leadership in the AI Era   9:11 - The Five Core Human Skills Enhanced by AI   10:36 - Strategic AI: Beyond Basic Tasks   14:24 - AI as Your Strategic Thought Partner   19:47 - Navigating AI: Threat vs. Opportunity for Lawyers   20:56 - Practical AI Applications: NDA Review and Valuation   28:51 - Building Your AI Habit: The "CRIT" Framework   32:19 - AI Security and Data Privacy for Legal Professionals   34:40 - The Risk of Inaction and Building the Future Firm    

This special remastered episode of the Lawyerist Podcast features Stephanie's conversation with Geoff Woods, author of The AI-Driven Leader. We're re-releasing it due to positive feedback on the depth of this discussion, ensuring you'll gain new insights and "aha!" moments with every listen.  In this episode, we explore AI's transformative power, viewing it not as a threat, but as a liberator that enhances our work. We dive into the five core human skills to emphasize in an AI-driven world: strategic thinking, problem-solving, communication, collaboration, and creation. We demonstrate how to leverage AI strategically, from evaluating business plans to acting as a growth-minded board member, and you'll hear how we're integrating AI into our own leadership meetings.  Geoff shares real-world examples of using AI as a "thought partner" to stress-test major strategic decisions, even creating an "AI board of advisors." He also provides practical applications for lawyers, such as using AI to review NDAs, stress-test legal arguments, and role-play closing arguments with AI as your jury. To guide your own AI journey, Geoff outlines his "CRIT" framework (Context, Role, Interview, Task) for effective prompting and highlights the importance of understanding AI model settings for data privacy and confidentiality.  Listen to our other episodes on the AI revolution:  #555: How to Use AI and Universal Design to Empower Diverse Thinkers with Susan Tanner Apple Podcasts | Spotify | Lawyerist   #553: AI Tools and Processes Every Lawyer Should Use with Catherine Sanders Reach Apple Podcasts  Spotify  Lawyerist     #550: Beyond Content: How AI is Changing Law Firm Marketing, with Gyi Tsakalaki and Conrad Saam: Apple Podcasts | Spotify | Lawyerist    Have thoughts about today's episode? Join the conversation on LinkedIn, Facebook, Instagram, and X!  If today's podcast resonates with you and you haven't read The Small Firm Roadmap Revisited yet, get the first chapter right now for free! Looking for help beyond the book? See if our coaching community is right for you.  Access more resources from Lawyerist at lawyerist.com.  The AI-Driven Leader   Chapters/Timestamps:  0:00 - Episode Introduction and Why This Remastered Version is Special   1:22 - AI as the Next Big Shift for Lawyers   6:28 - Geoff Woods: Redefining Leadership in the AI Era   9:11 - The Five Core Human Skills Enhanced by AI   10:36 - Strategic AI: Beyond Basic Tasks   14:24 - AI as Your Strategic Thought Partner   19:47 - Navigating AI: Threat vs. Opportunity for Lawyers   20:56 - Practical AI Applications: NDA Review and Valuation   28:51 - Building Your AI Habit: The "CRIT" Framework   32:19 - AI Security and Data Privacy for Legal Professionals   34:40 - The Risk of Inaction and Building the Future Firm     Learn more about your ad choices. Visit megaphone.fm/adchoices

In the seventh episode of our Inside Investigations podcast series, Jeremy Lua (Counsel, APAC Cybersecurity and Data Privacy, Singapore), Fiona Bundy-Clarke (Counsel, Data Protection and Technology, London), Ashley Kuempel (Partner, Regulations, Investigations, Security and Compliance, Austin), Rita Nader-Guéroult (Counsel, Investigations and Business Ethics Team, Paris) and Rongxin Huang (Partner, Shanghai Pacific Legal, Shanghai) delve into data privacy and security considerations in internal and regulatory investigations, particularly those with a cross-border element. Building upon our previous episode about common data sources and challenges in data collection, this episode explores the significant impact that data protection regulations—such as the EU / UK's GDPR—have on the necessary collection and processing of large volumes of personal data over the course of an investigation.

In this episode of the Elevate Care Podcast, David Norris, CEO of Affineon Health, discusses the transformative role of AI in healthcare, particularly in alleviating provider burnout and enhancing patient care. He shares insights from his extensive experience in healthcare technology, emphasizing the need for innovative solutions to support healthcare providers overwhelmed by administrative tasks. The conversation explores how AI can streamline processes, improve patient communication, and ensure data privacy, while also addressing the challenges of adoption among healthcare professionals. Norris highlights the importance of creating a supportive environment for providers and the potential for AI to revolutionize patient-provider relationships in the future.Chapters:00:00 AI in Healthcare: A New Era04:45 Addressing Provider Burnout with AI Solutions10:50 Operationalizing AI: Protocols and Provider Control15:56 The Future of AI in Patient Care21:58 Ensuring Data Privacy and Cybersecurity in AI25:50 Looking Ahead: The Future of AI in Healthcare About David Norris: Mr. Norris is a CEO, investor, board member, advisor, and serial entrepreneur. Utilizing his extensive experience and network, he works closely with investors and boards to accelerate the growth of high potential companies. He has extensive governance experience on a wide range of boards and board committees.As a serial entrepreneur, he has founded and built companies in a number of different industries and has extensive fund-raising experience, having raised capital from VC, private equity, strategic, angel, and debt sources.Mr. Norris has held leadership positions in a number of companies including: Co-founder and CEO, Affineon Health, Chairman and CEO, Element3 Health (acquired 2022), Co-founder, Co-Founder and CEO of MD Insider (acquired by Accolade (NASDAQ:ACCD)), Co-founder and CEO of BlueCava (acquired by IDify/Adstra), Co-Founder and CEO of OnRequest Images, Co-Founder and CEO of ObjectSpace (acquired), VP/General Manager at Casco Signal Ltd (acquired by Alstom (ALO:EN)), and Toccata Systems (acquired by Chilton).Mr. Norris has extensive international business experience, having lived and worked in Europe, Asia, and the United States. He is a regular speaker at industry conferences, has lectured at organizations such as Microsoft and the Harvard Business School, has appeared on business TV programs such as CNN, Bloomberg TV, and has been quoted in publications such as The Wall Street Journal and New York Times.Mr. Norris has won various awards, including the Ernst and Young Entrepreneur of the Year, the Inc. 500, and The Software 500. He supports a number of charities including the American Diabetes Association and the National MS Society. Mr. Norris sits on a number of boards and is a senior advisor to a number of companies. He is also a very active cyclist. Sponsors: Discover how WorkWise is redefining workforce management for healthcare. Visit workwise.amnhealthcare.com to learn more.About The Show: Elevate Care delves into the latest trends, thinking, and best practices shaping the landscape of healthcare. From total talent management to solutions and strategies to expand the reach of care, we discuss methods to enable high quality, flexible workforce and care delivery. We will discuss the latest advancements in technology, the impact of emerging models and settings, physical and virtual, and address strategies to identify and obtain an optimal workforce mix. Tune in to gain valuable insights from thought leaders focused on improving healthcare quality, workforce well-being, and patient outcomes. Learn more about the show here. Find Us On:WebsiteYouTubeSpotifyAppleInstagramLinkedInXFacebook Powered by AMN Healthcare

In this episode, host Melissa Howatson welcomes Steve Browning, VP of Data Privacy and Corporate Security at Vena, and Kaz Takemura, Managing Director of FP&A Technologies at Modelcom, to explore how finance teams can adopt AI safely and strategically. Steve and Kaz share practical, cross-functional strategies for embedding AI into business operations, from building the right teams to creating scalable governance frameworks. They also unpack the emotional and organizational barriers to AI adoption and offer tips to drive both innovation and risk management. Whether you're just starting your AI journey or looking to optimize existing implementations, learn how to move from fear to forward momentum, without compromising security or trust. Discussed in This Episode: Why AI is now a non-negotiable technology The importance of cross-functional teams in AI governance How fear and job insecurity are major blockers to adoption The risks of shadow AI usage and how to spot it Guardrails that enable safe experimentation, not restriction Why employee education is the secret weapon of successful AI programs

Senior Software Engineer Serhii Popov and Product Manager Pavlo Haidamak, both of MacPaw, offer an inside look at how CleanMyMac is built with user trust, transparency, and security at the forefront. They discuss how evolving regulations like GDPR and Apple's system restrictions have changed the way software is developed, tested, and updated. The conversation explores balancing user control with ease of use, why informed permission requests matter, and how user feedback directly shapes product improvements. With examples from their own workflows and challenges, they highlight what it means to build responsible software in an age of heightened privacy concerns.0:09 Introduction to MacPaw's Perspective (Part 1)  This edition of MacVoices is supported by Notion, the best AI tool for work. Check it out at notion.com/macvoices. Show Notes: Chapters: 01:49 Roles and Responsibilities at MacPaw 03:58 Evolving Demands in Software Development 04:50 Trust and Security in Software 09:36 Educating Customers on Data Privacy 13:21 Permission Requests and User Experience 17:17 Customer Experience with CleanMyMac 20:47 The Importance of User Feedback 32:31 Closing Thoughts on User Control Links: MacPaw Discord Server: https://discord.gg/eN4dX2RRkN Guests: Pavlo Haidamak is a Product Manager at MacPaw, currently leading the team behind CleanMyMac. With a background in Computer Science, Pavlo began his career as a QA engineer and has since managed acclaimed products such as Gemini 2, Setapp, and SpyBuster. As a CODA (Child of Deaf Adults), he is dedicated to driving innovation and making apps smarter and more accessible. Outside of technology, Pavlo is an avid painter and analogue photography enthusiast, with a particular love for Polaroid cameras. In his free time, he enjoys baking bread, vibe coding and spending time with his tiny chihuahua, Loretta. You can connect with him here: www.linkedin.com/in/haidamak Serhi Popovi is a Senior Software Engineer at MacPaw with more than 7 years of experience developing world-class multi-platform apps. An expert in Swift, Swift Multiplatform, MarketplaceKit, Accessibility and other technologies, he's worked on several projects like Setapp, Setapp software development kit, and Spark Email. As the engineering lead of Setapp Mobile, Serhii has lead his team to develop one of the first successful alternative marketplaces for iOS, all while contributing to the Apple developer community through conference presentations, advocacy, and education.You can connect with him here:  LinkedIn - linkedin.com/in/serg-i  X: x.com/zaris__  Website: bysergi.com Support:      Become a MacVoices Patron on Patreon      http://patreon.com/macvoices      Enjoy this episode? Make a one-time donation with PayPal Connect:      Web:      http://macvoices.com      Twitter:      http://www.twitter.com/chuckjoiner      http://www.twitter.com/macvoices      Mastodon:      https://mastodon.cloud/@chuckjoiner      Facebook:      http://www.facebook.com/chuck.joiner      MacVoices Page on Facebook:      http://www.facebook.com/macvoices/      MacVoices Group on Facebook:      http://www.facebook.com/groups/macvoice      LinkedIn:      https://www.linkedin.com/in/chuckjoiner/      Instagram:      https://www.instagram.com/chuckjoiner/ Subscribe:      Audio in iTunes      Video in iTunes      Subscribe manually via iTunes or any podcatcher:      Audio: http://www.macvoices.com/rss/macvoicesrss      Video: http://www.macvoices.com/rss/macvoicesvideorss

Boost data security and automate prioritization for data alerts with Security Copilot-powered Alert Triage Agents for Microsoft Purview Data Loss Prevention and Insider Risk Management. Surface the highest-risk alerts across your environment, no matter their default severity, and take action. Customize how your agents reason, teach them what matters to your organization, and continuously refine to reduce time-to-resolution. Talhah Mir, Microsoft Purview Principal GPM, shows how to triage, investigate, and contain potential data risks before they escalate. ► QUICK LINKS:  00:00 - Agents in Microsoft Purview 00:58 - Alert Triage Agent for DLP 01:54 - Customize Agents 03:32 - View prioritized alerts 05:17 - Calibrate Agent Behavior with Feedback 06:38 - Track Agent Performance and Usage 07:34 - Wrap up ► Link References Check out https://aka.ms/PurviewTriageAgents ► Unfamiliar with Microsoft Mechanics? As Microsoft's official video series for IT, you can watch and share valuable content and demos of current and upcoming tech from the people who build it at Microsoft. • Subscribe to our YouTube: https://www.youtube.com/c/MicrosoftMechanicsSeries • Talk with other IT Pros, join us on the Microsoft Tech Community: https://techcommunity.microsoft.com/t5/microsoft-mechanics-blog/bg-p/MicrosoftMechanicsBlog • Watch or listen from anywhere, subscribe to our podcast: https://microsoftmechanics.libsyn.com/podcast ► Keep getting this insider knowledge, join us on social: • Follow us on Twitter: https://twitter.com/MSFTMechanics • Share knowledge on LinkedIn: https://www.linkedin.com/company/microsoft-mechanics/ • Enjoy us on Instagram: https://www.instagram.com/msftmechanics/ • Loosen up with us on TikTok: https://www.tiktok.com/@msftmechanics

Consent, Compliance, and Conversational AI: Marketing's New RealityIn this episode, Nitin Seth, CEO of SMS Magic & Conversive, reveals how strict privacy regulations like GDPR and TCPA are forcing marketers to completely rebuild their customer engagement infrastructure around sophisticated consent management and AI-powered channel orchestration.  Most provocatively, Nitin argues that traditional mass-market branding is dead—replaced by direct customer experience and real-time engagement that requires marketers to master database marketing, social media management, and AI-driven personalization to survive in this privacy-first future.About Nitin Seth: Nitin Seth is the CEO & Co-Founder of SMS Magic & Conversive.  5 Key Takeaways for Marketers: 1. Privacy Compliance Is Now Table Stakes, Not Optional2. Consent Management Requires Sophisticated Digital Infrastructure3. AI-Powered Channel Orchestration Is Replacing Single-Channel Thinking4. Conversational AI Will Transform Brand Engagement Architecture5. Traditional Branding Is Dead - Direct Customer Experience Is KingTimestamps00:04:22 - 00:05:42 From IIT Engineer to Marketing Tech CEO: Nitin's Journey00:05:42 - 00:08:37 Why Privacy-First Marketing Is Now Essential for Every Brand00:08:38 - 00:10:45 Privacy Laws Then vs Now: What Changed for Marketers?00:10:45 - 00:13:53 The Compliance Landscape: US vs European Marketing Rules00:13:53 - 00:17:41 How Brands Actually Handle HIPAA and Privacy Compliance00:17:41 - 00:20:49 What Every Marketer Must Know About Privacy Compliance00:20:49 - 00:25:47 What Is "Consent" and Why It Matters for Your Marketing00:25:47 - 00:30:22 Building Customer Preference Centers That Actually Work00:30:22 - 00:34:36 How AI Can Make Privacy Compliance Easier (Not Harder)00:34:36 - 00:39:49 Channel Orchestration: The Future of Customer Engagement00:39:49 - 00:43:11 From Search to Conversations: How Customer Behavior Is Changing00:43:11 - 00:47:32 Will ChatGPT Kill Google Ads? The Future of Lead Generation00:47:32 - 00:48:58 How Conversational AI Will Transform Customer Experience00:48:58 - 00:55:40 Building Brand-Specific AI Without Losing Customer Data00:55:41 - 00:59:10 The New Marketing Architecture: Privacy + AI + Personalization00:59:10 - 00:59:56 Essential Skills Every Marketer Needs for the Privacy Era00:59:56 - 01:00:47 Tech Skills That Will Future-Proof Your Marketing Career01:00:47 - 01:02:27 What Should 18-Year-Olds Learn for Marketing's Future?01:02:27 - 01:04:19 The Death of Traditional Branding: One Professor's Prediction#PrivacyFirstMarketing, #ConversationalAI, #MarketingCompliance, #CustomerEngagement, #AIMarketing, #DataPrivacy, #MarketingTech, #FutureOfMarketing, #ConsentManagement, #marketingautomationThis episode was made possible by the great folks at MovingWalls. Moving Walls provides a global Adtech platform built by Out-of-home advertising experts, automating the process of planning, buying, executing and measuring OOH campaigns, with a presence across four continents and seven markets.  Moving Walls is also a Tie50 winner, a listing of 50 most enterprising startups globally. Visit https://www.movingwalls.com to learn more. Selected Links and Show Notes: https://www.contraminds.comSubscribe to our Weekly Newsletter: https://blog.contraminds.comFollow UsTwitter: https://twitter.com/contramindsInstagram: https://www.instagram.com/contraminds/LinkedIn: https://www.linkedin.com/company/contramindsFacebook: https://www.facebook.com/contraminds

In deze diepgaande aflevering van Techzine Talks duiken Coen en Erik in de complexe wereld van sovereign cloud oplossingen. Ze ontleden hoe Microsoft, Google Cloud en AWS vergelijkbare beloftes doen over datasoevereiniteit en onderzoeken de cruciale vraag: kan Europa wel zonder deze Amerikaanse hyperscalers? De podcast biedt een kritische analyse van datacenters, encryptie-oplossingen, key-management, confidential computing, Europese partners en personeel, maar ook de praktische en financiële uitdagingen van een echt Europees cloud-alternatief.Aanleiding voor deze discussie was een Microsoft AI-event waar CEO Satya Nadella sprak over sovereign cloud, wat Coen inspireerde om dit maar eens te duiden in een Techzine Talks aflevering. Terwijl steeds meer Europese organisaties en overheden zorgen uiten over datasoevereiniteit, investeren Amerikaanse cloudgiganten miljarden in Europese datacenters en sovereign cloudoplossingen.Hoofdstukken:00:00 Introductie en aanleiding voor het onderwerp 02:15 Wat is sovereign cloud en waarom is het zo belangrijk geworden?04:20 De Amerikaanse Cloud Act en de implicaties voor Europese data07:30 Key-management en encryptie als beschermingslaag 10:15 Confidential computing uitgelegd 12:40 Disconnected en air-gapped oplossingen voor kritieke omgevingen15:30 Microsoft 365 Local en de beperkingen met Copilot 18:45 De AI-paradox: innovatie versus soevereiniteit 19:20 Transparantie en groeiende Europese zorgen (ICC-case) 23:45 Waarom een volledig Europees alternatief praktisch onhaalbaar is28:15 De enorme investeringen van hyperscalers in Europa 31:50 Is het realistisch om zonder Amerikaanse cloudtechnologie te opereren? 34:00 Conclusie en praktisch toekomstperspectiefDe podcast belicht hoe sovereign cloud oplossingen worden aangeboden door de grote Amerikaanse cloudproviders, maar legt ook bloot waarom een volledig Europees alternatief praktisch en financieel onhaalbaar lijkt. Coen en Erik bespreken de mogelijkheden van key management door Europese partijen, air-gapped oplossingen, en hoe organisaties toch veilig gebruik kunnen maken van Amerikaanse cloudtechnologie zonder hun soevereiniteit volledig op te geven.Een must-listen voor IT-beslissers, beleidsmakers en iedereen die betrokken is bij strategische cloudkeuzes in een steeds complexer geopolitiek landschap.#SovereignCloud #CloudComputing #Microsoft #AWS #GoogleCloud #DataSoevereiniteit #GDPR #CloudAct #Encryptie #AirGapped #TechzineTalks #Cybersecurity #CloudSecurity #EuropeseCloud #Hyperscalers #ConfidentialComputing #ITInfrastructuur #DataPrivacy #TechPodcast #Datacenter #CloudStrategy #DigitaleSoevereiniteit #Microsoft365Local #Copilot #GeneratieveAI #CloudRegulering #GAIA-X #EUCloudInitiative #DataResidentie #KeyManagementAbonneer je op Techzine Talks via Apple Podcasts, Spotify, YouTube of je favoriete podcast-app voor meer diepgaande analyses van enterprise technologie en blijf op de hoogte van de nieuwste ontwikkelingen in de IT-wereld.Bezoek www.techzine.nl voor meer artikelen, analyses en achtergronden over dit en andere enterprise IT-onderwerpen.

Technology is woven into every part of your nonprofit—but is it actually working for you? In this episode of Inspired Nonprofit Leadership, host Sarah Olivieri sits down with nonprofit tech and operations expert Roz Zavras to talk about how to clean up your data, simplify your systems, and use the right tools to move your mission forward. From bad password habits to donor communications and AI, Roz shares practical insights that will help your team stop spinning its wheels and start making smarter, easier tech choices. Episode Highlights 03:48 Nonprofit Tech Strategy and Operations 05:09 Data Privacy and Security Concerns 07:19 Effective Use of Password Managers 12:29 Adapting to Cloud-Based Technology 14:30 Improving Internal Communications 18:03 Addressing Inequities and Biases in Tech Literacy 23:13 Enhancing Donor Communications 27:19 Data Cleanliness and Strategy Rosalind 'Roz' Zavras is an experienced non-profit operations expert with about 20 years of experience building operational and technical infrastructure for global and local social impact organizations. She has a talent for identifying systemic challenges and designing new tools to overcome them. From revamping cash-based accounting systems in East Africa to creating a grant and donor tracking system for a city-based community foundation, Roz has a proven track record of finding solutions to a wide range of operational challenges. With a Masters in Law and Diplomacy and a Bachelors in Economics & Mathematics, as well as advanced work in accounting, technology, and fundraising, Roz brings an equity-focused, multidisciplinary approach to her work. Connect with Rosalind Instagram: @RosalindZavras Website: https://www.aropaconsulting.com/ LinkedIn: http://www.linkedin.com/in/zavrasdr Sponsored Resource Join the Inspired Nonprofit Leadership Newsletter for weekly tips and inspiration for leading your nonprofit! Access it here >> Be sure to subscribe to Inspired Nonprofit Leadership so that you don't miss a single episode, and while you're at it, won't you take a moment to write a short review and rate our show? It would be greatly appreciated! Let us know the topics or questions you would like to hear about in a future episode. You can do that and follow us on LinkedIn.

Mark Ericksen, creator of the Elixir LangChain framework, joins the Elixir Wizards to talk about LLM integration in Elixir apps. He explains how LangChain abstracts away the quirks of different AI providers (OpenAI, Anthropic's Claude, Google's Gemini) so you can work with any LLM in one more consistent API. We dig into core features like conversation chaining, tool execution, automatic retries, and production-grade fallback strategies. Mark shares his experiences maintaining LangChain in a fast-moving AI world: how it shields developers from API drift, manages token budgets, and handles rate limits and outages. He also reveals testing tactics for non-deterministic AI outputs, configuration tips for custom authentication, and the highlights of the new v0.4 release, including “content parts” support for thinking-style models. Key topics discussed in this episode: • Abstracting LLM APIs behind a unified Elixir interface • Building and managing conversation chains across multiple models • Exposing application functionality to LLMs through tool integrations • Automatic retries and fallback chains for production resilience • Supporting a variety of LLM providers • Tracking and optimizing token usage for cost control • Configuring API keys, authentication, and provider-specific settings • Handling rate limits and service outages with degradation • Processing multimodal inputs (text, images) in Langchain workflows • Extracting structured data from unstructured LLM responses • Leveraging “content parts” in v0.4 for advanced thinking-model support • Debugging LLM interactions using verbose logging and telemetry • Kickstarting experiments in LiveBook notebooks and demos • Comparing Elixir LangChain to the original Python implementation • Crafting human-in-the-loop workflows for interactive AI features • Integrating Langchain with the Ash framework for chat-driven interfaces • Contributing to open-source LLM adapters and staying ahead of API changes • Building fallback chains (e.g., OpenAI → Azure) for seamless continuity • Embedding business logic decisions directly into AI-powered tools • Summarization techniques for token efficiency in ongoing conversations • Batch processing tactics to leverage lower-cost API rate tiers • Real-world lessons on maintaining uptime amid LLM service disruptions Links mentioned: https://rubyonrails.org/ https://fly.io/ https://zionnationalpark.com/ https://podcast.thinkingelixir.com/ https://github.com/brainlid/langchain https://openai.com/ https://claude.ai/ https://gemini.google.com/ https://www.anthropic.com/ Vertex AI Studio https://cloud.google.com/generative-ai-studio https://www.perplexity.ai/ https://azure.microsoft.com/ https://hexdocs.pm/ecto/Ecto.html https://oban.pro/ Chris McCord's ElixirConf EU 2025 Talk https://www.youtube.com/watch?v=ojL_VHc4gLk Getting started: https://hexdocs.pm/langchain/gettingstarted.html https://ash-hq.org/ https://hex.pm/packages/langchain https://hexdocs.pm/igniter/readme.html https://www.youtube.com/watch?v=WM9iQlQSFg @brainlid on Twitter and BlueSky Special Guest: Mark Ericksen.

The yearslong push to put guardrails on when — and how — companies can commodify key aspects of a person's identity has taken on new urgency in Montpelier. But the tension between strict consumer protections and their potential impact on local businesses continues to thwart compromise over an issue that states are reckoning with nationwide.

Getting full-grown adults to take their privacy seriously is a challenge in itself. So, just think of how easy it is for Children to give up extremely private information to scammers and businesses operating in bad faith.For this episode, we bring on Denise, a subject matter expert in Children's Online Privacy. They discuss:Data privacy horror stories that impact children/the elderlyHow to help kids keep their data secure onlineHow businesses may be accidentally violating children's privacy laws (COPPA)

AI is transforming higher education, but at what cost to student privacy? In this episode of Cooperatively Speaking, Matt Levine speaks with Chris Uthe, Chief Product Officer at BlackBeltHelp, about how colleges and universities can harness the power of artificial intelligence without compromising the trust at the heart of the student experience.With campuses storing vast amounts of sensitive data, the conversation dives into how institutions can use AI to enhance student support while staying compliant with regulations like FERPA. As a seasoned expert in education technology, Chris shares insights on cutting through the noise of overhyped AI solutions, streamlining tech stacks, and building ethically sound systems that truly serve students.Whether you're just beginning your AI journey or looking to sharpen your data privacy strategy, this episode offers timely, practical guidance on the future of AI in higher ed.E&I Host:Matt Levine, Category Marketing Manager, E&I Cooperative ServicesGuest: Chris Uthe, Chief Product Officer, BlackBeltHelpCooperatively Speaking is hosted by E&I Cooperative Services, the only member-owned, non-profit procurement cooperative exclusively focused on serving the needs of education. Visit our website at www.eandi.org/podcast.Contact UsHave questions, comments, or ideas for a future episode? We'd love to hear from you! Contact Cooperatively Speaking at podcast@eandi.org. This podcast is for informational purposes only. The views expressed in this podcast may not be those of the host(s) or E&I Cooperative Services.

KeywordsN8n, AI workflows, data privacy, Bitcoin mining, cryptocurrency, LLMs, dystopian futures, AI implications, blockchain technology, community in cryptoSummaryThis conversation delves into the intersection of AI and cryptocurrency, particularly focusing on the use of N8n for AI workflows, the implications of AI on society, and the future of Bitcoin mining. The speakers discuss the importance of understanding AI to mitigate fears, the role of data in training AI models, and the potential dystopian outcomes of data privacy issues. They also explore the evolving landscape of Bitcoin transactions and the significance of community in the crypto space.TakeawaysN8n is a powerful tool for processing data with AI.Understanding AI reduces fear and skepticism.Data privacy concerns are growing with AI advancements.The future of Bitcoin mining is intertwined with AI technology.Community support is crucial in the cryptocurrency space.AI can be both beneficial and dystopian depending on its use.The importance of keeping a human in the loop with AI.Bitcoin transactions are shifting towards off-chain solutions.The evolution of mining technology is ongoing and complex.The future of block space will require innovative solutions.Chapters00:00 Introduction to N8n and AI Workflows02:37 Understanding AI: Demystifying LLMs05:17 The Role of Human Oversight in AI07:57 Data Privacy and the Dystopian Future of AI10:20 The Implications of Behavioral Data and Profiling13:08 The Fragility of Data Systems and Privacy15:37 The Future of Transactions and Block Space18:19 The Evolution of Mining Technology20:51 The Debate on Financial Products in Blockchain23:11 The Challenges of On-Chain Transactions25:26 The UTXO Set and Its Implications35:16 Quantum Concerns and Bitcoin's Future38:01 Navigating Bitcoin Volatility39:37 Insights from the Vegas Conference42:20 The Role of Miners in the Crypto Ecosystem46:29 Decentralization Buzzwords and Mining Profitability51:17 Emerging Technologies and Future Developments

Elon Musk has come out to publicly criticize the “one big, beautiful bill,” voicing concerns over its implications for innovation and government overreach.Supporters of President Trump are raising serious concerns over a controversial plan involving Palantir Technologies. The proposal would consolidate vast amounts of data on American citizens into a single centralized system—something critics argue poses a significant threat to privacy and individual freedoms. Many Trump allies see this as a dangerous step toward a surveillance state, warning that such a merger could give the federal government unprecedented control over personal information.In the second half of the program, we turn our attention to an update on CNN anchor Jake Tapper and Axios political reporter Alex Thompson's book about the final years of former President Joe Biden's administration. Freedom Marketplace: https://freedommarketplace.net The Stack: https://www.toddhuffshow.com/stack-of-stuff Email: todd@toddhuffshow.comPhone: 317.210.2830Follow us on…Instagram: @toddhuffshowFacebook: The Todd Huff ShowTwitter: @toddhuffshowLinkedIn: The Todd Huff ShowTikTok: @toddhuffshowSupport Our Partners:https://www.toddhuffshow.com/partners Links:https://www.mypillow.com/todd Promo Code: TODDhttps://mystore.com/toddhttps://soltea.com - Promo Code TODD for $29.95 off your first orderEaston University - https://www.eastonuniversity.comRed, White, & Brand – Text TODD at 317-210-2830 for a 10% discount.

Elon Musk has come out to publicly criticize the “one big, beautiful bill,” voicing concerns over its implications for innovation and government overreach.Supporters of President Trump are raising serious concerns over a controversial plan involving Palantir Technologies. The proposal would consolidate vast amounts of data on American citizens into a single centralized system—something critics argue poses a significant threat to privacy and individual freedoms. Many Trump allies see this as a dangerous step toward a surveillance state, warning that such a merger could give the federal government unprecedented control over personal information.In the second half of the program, we turn our attention to an update on CNN anchor Jake Tapper and Axios political reporter Alex Thompson's book about the final years of former President Joe Biden's administration. Freedom Marketplace: https://freedommarketplace.net The Stack: https://www.toddhuffshow.com/stack-of-stuff Email: todd@toddhuffshow.comPhone: 317.210.2830Follow us on…Instagram: @toddhuffshowFacebook: The Todd Huff ShowTwitter: @toddhuffshowLinkedIn: The Todd Huff ShowTikTok: @toddhuffshowSupport Our Partners:https://www.toddhuffshow.com/partners Links:https://www.mypillow.com/todd Promo Code: TODDhttps://mystore.com/toddhttps://soltea.com - Promo Code TODD for $29.95 off your first orderEaston University - https://www.eastonuniversity.comRed, White, & Brand – Text TODD at 317-210-2830 for a 10% discount.

Welcome to a special edition of We get work®, recorded live from Workplace Horizons 2025 in New York City, Jackson Lewis's annual Labor and Employment Law Conference. Over 500 representatives from 260 companies gathered together to share valuable insights and best practices on workplace law issues impacting their business today. Here's your personal invitation to get the insights from the conference, delivered directly to you. 

Join Jamal Khan and Jennifer Johnson as they explore the evolving landscape of AI in healthcare, focusing on its applications, ethical considerations, data privacy, and the role of Chief AI Officers. This discussion highlights the importance of governance, patient consent, and the potential of AI to improve healthcare workflows while addressing data security challenges. Learn about how to implement AI responsibly for better healthcare outcomes and operational excellence.  Speakers: Jamal Khan, Chief Growth and Innovation Officer at Connection Jennifer Johnson, Director of Healthcare Strategy and Business Development at Connection   Show Notes: 00:00 The Evolution of AI in Healthcare 03:04 Ethics and Governance in AI Applications 06:05 Data Privacy and Security Concerns 08:49 The Role of Chief AI Officers 12:07 Patient Consent and Data Usage 14:54 AI's Impact on Healthcare Workflows 18:00 Computational Power in Health Data Analysis 20:47 Virtual Assistants in Healthcare 24:00 Clinical Trials vs. Drug Discovery 26:55 The Future of Patient Data Management 28:11 AI Adoption in Insurance Companies 33:05 Transparency and Explainability in AI 37:28 AI Use Cases in Healthcare 44:10 Cloud vs On-Prem AI Solutions 49:23 Data Orchestration in Healthcare   For more information on AI services for healthcare, visit https://www.cnxnhelix.com/healthcare.     

We welcome Karla Childers to AI Uncovered. Karla is a long-standing leader in bioethics and data transparency in the pharmaceutical industry. As part of the Office of the Chief Medical Officer at Johnson & Johnson, she brings deep expertise in navigating the ethical implications of emerging technologies, especially artificial intelligence, in medicine and drug development.In this episode, Tim and Karla explore the intersection of AI, bioethics and patient-centered development. They discuss how existing ethical frameworks are being challenged by the rise of generative AI and why maintaining human oversight is critical—especially in high-context areas like clinical trial design, consent and medical communications. Karla also shares her views on the future of data privacy, the complexity of patient agency and how to avoid losing trust in the race for efficiency.Karla is a strong advocate for using innovation responsibly. From her work with internal bioethics committees to her perspective on evolving regulatory expectations, she offers bold insights into how the industry can modernize without compromising ethics or equity.Welcome to AI Uncovered, a podcast for technology enthusiasts that explores the intersection of generative AI, machine learning, and innovation across regulated industries. With the AI software market projected to reach $14 trillion by 2030, each episode features compelling conversations with an innovator exploring the impact of generative AI, LLMs, and other rapidly evolving technologies across their organization. Hosted by Executive VP of Product at Yseop, Tim Martin leads a global team and uses his expertise to manage the wonderful world of product.

In this episode, Andrew Grill welcomes back Chris Juneau from SAP Concur to discuss the latest findings from the 2025 CFO Insights report, “Action for Growth.” The conversation explores the evolving role of CFOs, the growing impact of AI and automation in finance, and the introduction of new agentic AI capabilities within SAP Concur's platform.Key Topics CoveredEvolution of CFO Mindset:The shift from “repositioning for growth” to “action for growth” reflects CFOs moving from reactive strategies to actively driving business expansion. Expanded Research Scope:This year's report surveyed not only 350 CFOs but also 115 HR and 150 IT leaders, providing a more holistic understanding of business pressures and cross-functional collaboration.Top Challenges for CFOs in 2025:Geopolitical tensions cited as the top external challenge by 37% of CFOs Concern over worsening economic conditions has declinedA dramatic rise in manual processes as a pain point AI's Transformational Role in Finance:Adoption of generative AI is now mission-critical for managing data overload and driving efficiency.AI is being used for forecasting, closing the books, fraud monitoring and creating new pricing models.SAP Concur's “Verify” tool now automatically audits 100% of expense reports, with 97% requiring no human intervention.Agentic AI & SAP Joule:Introduction of “Joule,” SAP's generative AI copilot, embedded across SAP applications.Joule automates mundane tasks, pre-audits expense reports, and provides real-time policy compliance checks.Joule acts as an agentic AI, orchestrating decisions and actions across multiple business processes, not just within finance.Integration and Real-Time Data:SAP Concur now integrates with payment providers like MasterCard and American Express to capture real-time authorisation data, streamlining expense reporting and improving categorisation.Data Privacy & Security:All financial data processed by Joule is contained within the customer's environment and is not exposed to external AI sources.Data is anonymised when used for model training, ensuring compliance with strict privacy standards.Customisation & Future-Proofing:SAP's Business Data Cloud enables organisations to unify and govern all SAP and third-party data, supporting custom AI queries across previously siloed data sets.Resources & Further ReadingSAP Concur CFO Insights ReportSAP Concur BlogChris Juneau on LinkedInUpcoming EventsCatch Andrew Grill and Chris Juneau on stage at Fusion Exchange in London on June 12. Thanks for listening to Digitally Curious. You can buy the book that showcases these episodes at curious.click/orderYour Host is Actionable Futurist® Andrew GrillFor more on Andrew - what he speaks about and recent talks, please visit ActionableFuturist.com Andrew's Social ChannelsAndrew on LinkedIn@AndrewGrill on Twitter @Andrew.Grill on InstagramKeynote speeches hereOrder Digitally Curious

Maxwell Nee is the Chief Revenue Officer of ScoreApp, a Quiz Marketing Platform with 6,000 paying clients. He's also a multi-award-winning entrepreneur, bodybuilder & dancer. He's been featured on TV, Radio, Forbes, Singapore's The Business Times & The Australian Business Review.00:00 - 00:17 "We have a mantra in our business that we want to force our clients to be successful. So we're always tuning in and filtering through and focusing on what can we do to over service our clients.” — Maxwell Nee00:18 - 00:35 Welcome to Peppershock Media's Marketing Expedition Podcast00:36 - 01:17 Max's Background01:18 - 08:33 Marketing Essentials Moment: Delivering Your Message08:34 - 09:41 Welcome to the show, Max!09:42 - 10:39 Current Focus of ScoreApp10:40 - 13:06 Lessons Learned as an Entrepreneur13:07 - 15:54 The Power of Quiz Marketing15:55 - 19:46 Conversion Rates and Lead Quality19:47 - 21:13 Applications Beyond Health21:14 - 22:04 Kitcaster is your secret weapon in podcasting for business. Your audience is waiting to hear from you! Go to kitcaster.com/expedition to apply for a special offer for friends of this podcast.22:05 - 23:51 Marketing Strategies for ScoreApp23:52 - 24:49 Affiliate Program Insights24:50 - 26:27 Future Goals26:28 - 29:26 Data Privacy and Compliance29:27 - 31:30 Support and Community Engagement31:31 - 32:53 Free Book and Free Trial Offer (ScoreApp)32:54 - 33:45 Thank you so much, Max! Share this podcast, give us a review, and enjoy your marketing journey!33:46 - 34:32 Join the Marketing Expedition Community today! Like what you hear, but need more information?Meet with Rhea Allen#Personalization #LeadGeneration #MarketingEssentialsMoment #DeliveringYourMessage #MarketingTips #ROI #ReturnOnInvestment #LeadConversion #EmailMarketing #QuizMarketing #Entrepreneurship #FirstPartyData Hosted on Acast. See acast.com/privacy for more information.

Representative Steve Owens discusses the Massachusetts Legislature's April 9 Data Privacy hearing and explains how he thinks about policymaking related to the future of information technology. This episode is Part 3 of 5 in my capstone project as a Fellow at the Harvard Law School Youth Advocacy & Policy Lab (Y-Lab). This podcast is not affiliated with Harvard University or Harvard Law School.This podcast isn't financial, legal, or medical advice, but we do discuss how we might invest our resources in systems and policies for a healthier society. If you'd like to learn more about today's topic and other public policy issues, check out the website: TheJusticePodcast.com

Understanding Security Camera Systems with Josh Summers   In this episode of The Secure Family Podcast, Andy discusses the crucial aspects of home security cameras with Josh Summers, the expert behind the 'All Things Secured' YouTube channel.    They dive into the differences between wired and wireless systems, the importance of data storage locations, and the necessity of encryption for protecting your family's privacy. Andy and Josh also address common concerns and misconceptions about indoor cameras and provide a handy checklist to help listeners choose the right security camera system for their homes.   For from Josh Summers: https://www.allthingssecured.com/ Take control of your data with DeleteMe. Because they sponsor the podcast you can get 20% off a privacy plan from DeleteMe with promo code: DAD.  Download The Secure Dad Family Home Security Assessment today! Connect

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

Tom McHugh, the CEO and co-founder of Finbourne, shares how they are transforming financial data management to deliver better outcomes. Tom shares the complexities of managing diverse financial data sources and how Finbourne's technology aims to simplify this landscape. He explains how their unique approach helps firms maintain gross margins, reduce fees, and enhance efficiency without overhauling existing systems. Learn about the core infrastructure of Finbourne, the role of AI and data virtualization, and the significant social impact Finbourne's solutions can bring to both investors and financial services.LINKSFinbourne: https://www.finbourne.com/

Having good backups of your data is important, and this is especially true of your most sensitive data. In this episode, Jon will be sharing about a device that he uses with his most sensitive data. With the ability to remote or local wipe the data, brute force protection, weather protection, and more, it is a USB drive that you can use and trust in your digital engagement efforts. To watch this training, go here: https://youtu.be/L0Xe6s2y78A

Gideon Nave, Wharton Associate Professor of Marketing, explores the complex intersection of personal autonomy, informed consent, and societal benefit as 23andMe's bankruptcy raises urgent questions about the fate and control of sensitive genetic information. Hosted on Acast. See acast.com/privacy for more information.

Knowing what data your organization is collecting and from whom is critical to effectively respond to cybersecurity data breaches and prepare for future incidents.  Chapters 00:00 Introduction to Data Privacy and Cybersecurity 01:54 Understanding Data Mapping 06:07 The Importance of Data Minimization 10:06 Legal Obligations and Compliance 14:02 Data Mapping Process and Best Practices

Joel Christner, (@joelchristner, Founder/CEO at @viewyourdata) discusses the complexities of data management in AI, structured and unstructured data, the importance of RAG pipelines and vector databases. SHOW SUMMARY:  Aaron and Joel discusses the complexities of data management in AI, focusing on the concept of universal data representation. They explore the challenges organizations face with structured and unstructured data, the importance of RAG pipelines and vector databases, and the implications of data privacy in regulated industries. The conversation also touches on managing model versions and the emerging patterns in AI tooling that can help enterprises effectively utilize AI technologies.SHOW: 925SHOW TRANSCRIPT: The Cloudcast #925 TranscriptSHOW VIDEO: https://youtube.com/@TheCloudcastNET CLOUD NEWS OF THE WEEK - http://bit.ly/cloudcast-cnotwNEW TO CLOUD? CHECK OUT OUR OTHER PODCAST - "CLOUDCAST BASICS" SPONSORS:[VASION] Vasion Print eliminates the need for print servers by enabling secure, cloud-based printing from any device, anywhere. Get a custom demo to see the difference for yourself.[US CLOUD] Cut Enterprise IT Support Costs by 30-50% with US CloudSHOW NOTES:View.io websiteTopic 1 - Welcome to the show, Joel. Give everyone a quick introduction.Topic 2 - Our topic today is everything data and how to represent it and embed it into AI systems. First, what is the challenge with data, structured or unstructured, in organizations today and what is behind the concept of Universal Data RepresentationTopic 3 - Industry or customer specific data today is big challenge for organziations, especially in highly regulated industries such as healthcare, financial services, etc. The most prevalent solution I am seeing is taking an existing foundational model and then adding a RAG pipeline vs. the cost and time to fine tuning. What are you seeing?Topic 4 - Even when companies have good data, that doesn't mean that data makes it into the AI pipeline correctly, this is where the embedding problem and your concept of Universal Data Representation comes into play, correct?Topic 5 - But, once you get the first model out, then what? How should the data and models be handled over time? How do you create a platform and a continuous feedback loop to improve the results over time?Topic 6 - What are the most successful use cases you are seeing today with your customers?FEEDBACK?Email: show at the cloudcast dot netBluesky: @cloudcastpod.bsky.socialTwitter/X: @cloudcastpodInstagram: @cloudcastpodTikTok: @cloudcastpod

Leah Plunkett describes how parents and educators should think about privacy policies as a new wave of generative AI technologies emerge in student spaces.Leah is the Executive Director of Harvard Law School Online, Associate Dean of Learning Experience and Innovation at Harvard Law School, Faculty Associate at the Berkman Klein Center for Internet & Society, and author of Sharenthood: Why We Should Think Before We Talk About Our Kids Online.This episode is Part 1 of 5 in my capstone project as a Fellow at the Harvard Law School Youth Advocacy & Policy Lab (Y-Lab). This podcast is not affiliated with Harvard University or Harvard Law School.This podcast isn't financial, legal, or medical advice, but we do discuss how we might invest our resources in systems and policies for a healthier society. If you'd like to learn more about today's topic and other public policy issues, check out the website: ⁠TheJusticePodcast.com⁠

In this Sports Geek Throwback episode, Sean Callanan interviews Aaron LeValley. They discussed the Importance of customer's data privacy. Show notes - https://sportsgeekhq.com/why-customers-data-privacy-matters-aaron-levalley

In Episode 5, host Jordan L. Fischer, Esq. interviews Professor of Law, Nancy B. Rapoport, and Joseph Tiano, CEO of Legal Decoder, on the long term impact of Artificial Intelligence, and specifically Generative AI, on the billable hourly model. Nancy and Joe share their perspectives having interviewed numerous law firms for their recent publication, Fighting the Hypothetical: Why Law Firms Should Rethink the Billable Hour in the Generative AI Era, 20 Wash. J. L. Tech. & Arts 41 (2025). Specifically, they discuss the specific ways in which they are seeing Gen AI change day-to-day legal operations, and how those impacts will result in changes to client billing expectations. Nancy and Joe provide insight into alternative billing models, and a new hybrid approach that law firms need to embrace in order to adapt to the changing times. For more information on Professor Rapoport, visit: https://www.linkedin.com/in/nancyrapoport/; for more information on Joesph Tiano, visit: https://www.linkedin.com/in/joseph-tiano-1767372/. To contact our host, Jordan L. Fischer, Esq., regarding this podcast or to inquire into becoming a guest, please contact Ms. Fischer at jordan@jordanfischer.me.

In today's episode of Hashtag Trending, host Jim Love discusses Google's new AI agent, Alpha Evolve, which autonomously generates and optimizes algorithms to improve efficiency in data centers and hardware design. He also covers a malfunction in Elon Musk's AI chatbot Grok, which led to inappropriate and unsolicited replies on social media. Finally, Sam Altman of OpenAI provides insights into how different age groups use ChatGPT, raising questions about data privacy and the potential for AI to analyze and influence users. The episode highlights the significant developments in AI technology along with the associated challenges and ethical considerations. 00:00 Introduction and Today's Headlines 00:23 Google's Alpha Evolve: Revolutionizing AI Coding 04:03 Elon Musk's Grok: AI Chatbot Gone Rogue 06:24 Sam Altman on Generational Differences in ChatGPT Usage 07:43 Concerns About AI and Data Privacy 10:27 Conclusion and Weekend Preview

Innovation comes in many areas, and compliance professionals must be ready for and embrace it. Join Tom Fox, the Voice of Compliance, as he visits with top innovative minds, thinkers, and creators in the award-winning Innovation in Compliance podcast. Today, we begin a 3-part podcast series sponsored by Diligent with Clint Palermo, Kristy Grant-Hart, and Stephanie Font. Part 2 discusses navigating regulatory changes and compliance in trade and data privacy. In this episode, host Tom Fox converses with Stephanie Font, Director for Operations Optimization Group at Diligent, to discuss the ever-evolving landscape of economic sanctions, trade policies, and data privacy. Font shares insights on how businesses can stay compliant amidst rapid regulatory changes, emphasizing the importance of continuous monitoring, thorough due diligence, and understanding one's business partners. The conversation also touches on new regulatory trends such as BIS address specifications, Mexican cartels being designated as FTOs, and the implications of the Uyghur Forced Labor Prevention Act. Key highlights: Economic Sanctions and Trade Policy Compliance and Business Operations Staying Updated on Regulatory Changes Cartels and Foreign Terrorist Organizations Data Privacy and Cybersecurity Human Rights and Business Culture Resources: Stephanie Font on LinkedIn Visit Diligent Website Tom Fox Instagram Facebook YouTube Twitter LinkedIn

(05:46) Brought to you by Swimm.io.⁠⁠⁠⁠⁠⁠⁠⁠Start modernizing your mainframe faster with ⁠⁠Swimm⁠⁠.Understand the what, why, and how of your mainframe code.Use AI to uncover critical code insights for seamless migration, refactoring, or system replacement.Feeling uneasy about how your personal data is used, and wondering if companies are doing enough to protect it?In this episode, Katharine Jarmul, author of “Practical Data Privacy,” dives deep into one of the most critical and rapidly evolving topics today. Discover how data privacy impacts you as a user and what organizations should be doing to protect your information responsibly. Learn why simply blaming users isn't the answer and how we can build a more trustworthy technological future.Key topics discussed:Understanding Data Privacy: The meaning of data privacy and how it links to autonomy, trust, and choiceMore Than Just PII: The full scope of sensitive data needing protectionThe “Spying” Phone Feeling: How too much data collection can be used to infer sensitive detailsOrganizational Responsibility: Shifting data protection burden from users to companies building and deploying technologyPrivacy by Design: Embedding privacy into tech right from the startEssential Data Governance: Why knowing your data is key to privacyPractical Privacy Techniques: Pseudonymization, anonymization, data masking, and morePrivacy Enhancing Technologies: Exploring tools like differential privacy, federated learning, and encrypted computationAI & Privacy Challenges: Using AI responsibly with sensitive informationNavigating Privacy Laws: Understanding GDPR, data sovereignty, and global regulationsBuilding a Privacy Culture: Fostering a culture of learning, psychological safety, and risk awareness around privacyTune in to learn how we can build a safer, more responsible, and trustworthy digital future for everyone.  Timestamps:(01:20) Career Turning Points(02:14) Data Privacy Landscape(07:45) PII (Personally Identifiable Information)(11:33) Data Privacy Risk in Current Technologies(14:13) Data Utility vs Privacy(19:01) Privacy by Design(24:19) Data Governance(29:06) Retention Schedule(31:10) Data Privacy Practices & Techniques(34:09) Privacy Enhancing Technologies(38:52) Fostering Data Privacy Practice & Culture(47:05) The Legal Aspects of Data Privacy(51:10) AI and Data Privacy(56:08) 3 Tech Lead Wisdom_____Katharine Jarmul's BioKatharine Jarmul is a Principal Data Scientist at Thoughtworks Germany and author of the recent O'Reilly book Practical Data Privacy . Previously, she has held numerous roles at large companies and startups in the US and Germany, implementing data processing and machine learning systems with a focus on reliability, testability, privacy and security.She is a passionate and internationally recognized data scientist, programmer, and lecturer. Katharine is also a frequent keynote speaker at international software and AI conferences.Follow Katharine:LinkedIn – linkedin.com/in/katharinejarmulNewsletter – https://probablyprivate.comYouTube – @ProbablyPrivate

In this episode, Jon will be sharing a method to get a phone number and utility bill that works for Meta Business account verification. This is all part of the process of being verified for your business ad accounts. To watch this training, go here: https://youtu.be/3UN-PwCXKBs

In this episode of Campus Technology Insider Podcast Shorts, host Rhea Kelly covers the key tech stories in higher education. Highlights include Fortinet's report on the critical role of identity in cloud security, Meta's launch of a standalone AI app featuring Llama 4, and a Cloudera survey revealing data privacy as a top concern for AI adoption. Tune in for more insights on these stories and their implications for the education sector. 00:00 Introduction and Host Welcome 00:17 Critical Security Perimeter in Cloud Services 00:48 Meta Platforms Launches Standalone AI App 01:21 Cloudera Survey on AI Agents and Data Privacy 01:57 Conclusion and Further Resources Source links: Report: Identity Has Become a Critical Security Perimeter for Cloud Services Meta Launches Stand-Alone AI App Study: Data Privacy a Top Concern as Orgs Scale Up AI Agents Campus Technology Insider Podcast Shorts are curated by humans and narrated by AI.

In this fourth part of a series on Risk Management, Jon will share the hope of a shared risk management group ("Protector Network"), and how the practice of risk management is a spiritual act and discipline for the Lord. To watch this training, go here: https://youtu.be/lAg0uTs5gUI Protector Network Email: protectornetwork@protonmail.com

Your DNA, health data, and digital identity are encrypted, monetized, and weaponized against you. But what if there was a way to take it back… and hack the system? In this mind-expanding episode, Dave sits down with two elite hacker-founders—Michael Tiffany, CEO of Fulcra.ai, and Vishakh, founder of Monadic DNA—to explore a radical shift in the way we store, protect, and use our most personal data. Together, they break down the Web3 tech stack powering this revolution. Enter Nillion, a distributed, privacy-preserving compute network that allows you to share and analyze your encrypted data… without ever giving it away. From genomic privacy to AI sovereignty, this episode exposes the hidden architecture of control—and how to escape it. You'll learn how cutting-edge blockchain and cryptography are rewriting the rules of ownership, consent, and even identity itself. What You'll Learn in This Episode: • Why your DNA is already in government databases—and how long they keep it • How Nillion enables secure computation on private data • What it means to build a “cybernetic operating system” for your body • Why Fulcra.ai is building the orchestration layer of human optimization • How Monadic DNA helps you profit from your genetics—without giving them away • Why owning your data is the next frontier of biohacking • The surprising connection between decentralization, health freedom, and consciousness • How to join the movement toward true data sovereignty If you've ever felt like you're giving away too much to big tech, big pharma, or just the internet itself—this conversation will change how you see your data… and your body. **Join the Fulca sleep study today! Visit https://fulcra.ai/sleep to sign up** **Get a 30% discount on Fulca with code “DAVE”! SPONSORS -IGNITON | Go to https://www.biohackingconference.com/ and get your tickets while there are still great discounts available. Learn more at https://igniton.com/. -Calroy | Head to https://calroy.com/dave for an exclusive discount. Resources: • Dave Asprey's New Book - Heavily Meditated: https://daveasprey.com/heavily-meditated/ • Fulcra Dynamics Website – https://www.fulcradynamics.com/ • MonadicDNA Website: https://monadicdna.com/ • 2025 Biohacking Conference: https://biohackingconference.com/2025 • Danger Coffee: https://dangercoffee.com • Dave Asprey's Website: https://daveasprey.com • Dave Asprey's Linktree: https://linktr.ee/daveasprey • Upgrade Collective – Join The Human Upgrade Podcast Live: https://www.ourupgradecollective.com • Own an Upgrade Labs: https://ownanupgradelabs.com • Upgrade Labs: https://upgradelabs.com • 40 Years of Zen – Neurofeedback Training for Advanced Cognitive Enhancement: https://40yearsofzen.com Timestamps: • 00:00 – Trailer • 02:01 – Intro • 02:26 – Data Privacy & AI: The Big Shift • 03:21 – Meet Michael Tiffany • 04:41 – Cybernetic Operating Systems • 05:13 – Wearables & Personal Augmentation • 08:21 – Meet Vishakh: DNA Privacy Mission • 09:25 – Why Genetic Data Needs Protection • 11:30 – New Tech: Encryption & Privacy Tools • 16:13 – How Multi-Party Compute Works • 41:58 – Emergence: Behavior & Systems • 49:11 – Meditation & Mental Reprogramming • 50:20 – Distributed Computing & Biology • 56:15 – Environment Shapes Potential • 57:57 – Empowering Individuals at Scale • 01:00:31 – Biohacking Meets Inner Awareness • 01:04:01 – The Dark Side of DIY Mind Hacks • 01:06:09 – Future of Biohacking & Community• 01:12:28 – Integrating Genetic & Life Data • 01:20:39 – Why We Started Biohacking • 01:25:01 – Favorite Current Biohacks • 01:31:41 – Final Thoughts & Resources See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

Surveillance technology like automated license plate readers has become commonplace in policing. They've made it easier to locate stolen vehicles and track suspects, but they've also raised concerns about civil liberties. Cardinal News Executive Editor Jeff Schwaner took a 300-mile drive through the state to see how often his car would be recorded. Marketplace's Meghan McCarty Carino spoke with Schwaner about his experience and issues related to privacy and who has access to the data.

Surveillance technology like automated license plate readers has become commonplace in policing. They've made it easier to locate stolen vehicles and track suspects, but they've also raised concerns about civil liberties. Cardinal News Executive Editor Jeff Schwaner took a 300-mile drive through the state to see how often his car would be recorded. Marketplace's Meghan McCarty Carino spoke with Schwaner about his experience and issues related to privacy and who has access to the data.