(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? Practical Data Privacy: Enhancing Privacy and Security in Data – https://www.oreilly.com/library/view/practical-data-privacy/9781098129453/Our SponsorsManning Publications is a premier publisher of technical books on computer and software development topics for both experienced developers and new learners alike. Manning prides itself on being independently owned and operated, and for paving the way for innovative initiatives, such as early access book content and protection-free PDF formats that are now industry standard.Get a 40% discount for Tech Lead Journal listeners by using the code techlead24 for all products in all formats.Like this episode?Show notes & transcript: techleadjournal.dev/episodes/216.Follow @techleadjournal on LinkedIn, Twitter, and Instagram.Buy me a coffee or become a patron.