Episode 10 w/ Katharine Jarmul - Data Privacy Unveiled: A Data Scientist's Perspective on Ethics in AI

In this podcast episode, host Ole Olesen-Bagneux sits down with Gregor Zeiler, daitastack's CEO, and a seasoned data management pioneer. Gregor recounts over 30 years of evolution in the field, from his early days of discovering a passion for data engineering to his role in advancing data democratization and innovative software solutions globally.Throughout their discussion, Gregor delves into the shifting paradigms of data handling—from centralized data warehouses to the empowering data mesh approaches that facilitate decentralized management. He shares insights into the creation and impact of BI tools, ETL technologies, and the revolutionary influence of AI on data strategies.The conversation also explores Gregor's latest endeavors with daitastack, aiming to support specialized software vendors in navigating the complex data management landscape and enhancing their market presence. He further highlights the distinct adoption patterns of data management technologies between Europe and the U.S., emphasizing Europe's leading role in embracing advanced data methodologies.🎧 Tune in to explore Gregor Zeiler's journey through the dynamic world of data, his expert insights into the latest industry trends, and his strategic vision for the future of data management and software innovation.Bonus ⭐▶️  Watch the episode (video) on Youtube📖  Download our ebook "The Practical Guide to Data Mesh"Hosted by Ausha. See ausha.co/privacy-policy for more information.

In this podcast episode, host Ole Olesen-Bagneux engages with Winfried Adalbert Etzel, host of the MetaDAMA podcast and an expert in data management based in Norway. They discuss the influence of Winfried’s background in history, political science, and law on his approach to data management.As the conversation unfolds, they explore how these disciplines enhance his understanding of data context and governance, leading to a broader discussion on the shift from traditional IT service management to integrated data strategies within businesses. Winfried then introduces DAMA Norway, detailing its inception and growth, and the role of the MetaDAMA podcast in promoting data management insights from the Nordics.The dialogue shifts to technical strategies, focusing on the concept of data mesh and its application in modern data management. They conclude with a discussion on the future of data and AI, reflecting on the stable nature of data as a term and the cyclical hype around AI, predicting upcoming trends and challenges.🎧 Tune in to hear Winfried Adalbert Etzel discuss the intertwining of historical insights with modern data strategies, and his thoughtful predictions on the evolving roles of data and AI in business.Bonus ⭐▶️  Watch the episode (video) on Youtube📖  Download our ebook "The Practical Guide to Data Mesh"Hosted by Ausha. See ausha.co/privacy-policy for more information.

In this podcast episode, host Ole Olesen-Bagneux is joined by Amy Raygada, Senior Data Solutions Program Lead at BayWa r.e. Global. With roots in Costa Rica and now based in Germany, Amy shares her insights from a dynamic journey across different industries spanning IT, data engineering, and governance.Throughout their discussion, Amy emphasizes the evolution of data tools from rudimentary Excel sheets to sophisticated data catalogs and governance systems that not only accommodate but empower business users. She delves into the concept of master data within the framework of data mesh, underscoring the need for domain-driven approaches to improve both data quality and organizational efficiency.As the conversation turns to the future of data and AI, Amy voices concerns about the rush towards AI adoption without adequate data foundations, stressing the implications for privacy and data security, especially under regulations like GDPR. She highlights the importance of strategic planning and clear objectives to leverage AI effectively in business contexts.🎧 Tune in to hear Amy Raygada articulate the intersection of data governance and technology, offering strategic insights into managing data and her visionary outlook on the evolving role of AI and data integration within global industries.Bonus ⭐▶️  Watch the episode (video) on Youtube📖  Download our ebook "The Practical Guide to Data Mesh"Hosted by Ausha. See ausha.co/privacy-policy for more information.

In this podcast episode, host Ole Olesen-Bagneux sits down with Tom De Wolf, a pioneer in Belgium's data mesh community and the founder of Data Mesh Belgium Meetup. Tom recounts his transition from software architecture to passionately advocating for data mesh, spurred by his insights into domain-driven design and microservice architectures.Throughout the discussion, Tom highlights the challenges and solutions in defining and managing data products, emphasizing the need for platforms that reduce complexity and cognitive load for data producers. He shares his experiences with initiating community dialogues through meetups, which play a crucial role in fostering the adoption and understanding of data mesh across Belgian industries.Tom also reflects on the future of data mesh in Belgium, envisioning its broader application and the transformative impact it could have on data management practices within the region. 🎧 Tune in to explore how Tom De Wolf is shaping the data architecture landscape in Belgium, and learn about the practical steps and visionary approaches driving the data mesh initiative forward.Bonus ⭐▶️  Watch the episode (video) on Youtube📖  Download our ebook "The Practical Guide to Data Mesh"Hosted by Ausha. See ausha.co/privacy-policy for more information.

In this podcast episode, host Ole Olesen-Bagneux welcomes Jessica Talisman, a senior information architect at Adobe, who shares her vast experience across various IT domains and her unique perspective combining library information science with modern data architecture.Throughout their conversation, Jessica highlights the potential of knowledge graphs to add depth and context to data, making a case for their integration into AI and IT systems based on principles she adapted from her past as a librarian. She further explores how traditional library sciences, especially models like FRBR and MARC, can influence modern data management practices and help maintain data provenance and rights management in AI applications.Ole and Jessica delve into the challenges and advancements within the data community regarding the understanding and application of taxonomies and ontologies. They discuss how these can act as a business's 'fingerprint' in the AI landscape, emphasizing the necessity for curated and domain-specific data architectures to enhance business representation and functionality in technological settings. 🎧 Tune into this enlightening episode to hear Jessica Talisman articulate the convergence of library information science and data architecture, her insights on fostering a more structured and ethical approach to data in the tech world, and the ongoing evolution of data understanding in the community.Bonus ⭐▶️  Watch the episode (video) on Youtube📖  Download our ebook "The Practical Guide to Data Mesh"Hosted by Ausha. See ausha.co/privacy-policy for more information.

In this podcast episode, host Ole Olesen-Bagneux welcomes James Serra, a Data & AI Solution Architect at Microsoft and the author of 'Deciphering Data Architectures' published by O’Reilly. With four decades of experience in IT and data architecture, James shares his journey through numerous roles and the technological advancements that have shaped data management practices.James delves into the motivations behind his latest book, aiming to demystify the complex landscape of data architecture for both professionals and enthusiasts. He emphasizes the importance of recognizing the pros and cons of each data architecture model and the need to learn from historical data management strategies to avoid repeating past mistakes. His guide helps organizations understand and navigate the nuances of modern data architectures, such as data mesh and data lakehouse.The episode also explores the significance of Architectural Design Sessions (ADS) in tailoring data solutions to specific customer needs. James discusses his approach to simplifying complex concepts, making data architecture more accessible and understandable. 🎧 Tune in to discover James Serra's valuable insights on the evolution of data technologies, receive practical advice on data architecture, and understand his strategic approach to educating about data systems.Bonus ⭐▶️  Watch the episode (video) on Youtube📖  Download our ebook "The Practical Guide to Data Mesh"Hosted by Ausha. See ausha.co/privacy-policy for more information.

In this podcast episode, host Ole Olesen-Bagneux sits down with Jon Cooke, the founder of Dataception and a seasoned pioneer in the realms of data architecture and AI. He takes us through his diverse career journey, starting from his early days in virtual reality and aerospace to spearheading innovations in data strategies and AI at major consultancies and enterprises.Jon delves into the practical challenges of implementing data mesh architectures, sharing his nuanced views on the transition from vision to execution. He critiques common terminologies like 'data products’, proposing clearer communication to bridge the gap between technical teams and business stakeholders. Throughout the conversation, he emphasizes the importance of composable data architectures and the evolving role of generative AI in transforming how businesses handle and leverage unstructured data.As the discussion unfolds, Jon highlights his current work on cutting-edge projects that integrate AI with traditional data processes, reshaping risk assessment and decision-making frameworks. His insights offer a glimpse into the future of data management, where AI and data mesh principles converge to create more adaptive and intelligent enterprise ecosystems. 🎧 Tune in to this episode to explore Jon Cooke's visionary approach to data and AI, his strategic insights on overcoming the hurdles of data mesh implementation, and his predictions for the next wave of data innovation.Bonus ⭐▶️  Watch the episode (video) on Youtube📖  Download our ebook "The Practical Guide to Data Mesh"Hosted by Ausha. See ausha.co/privacy-policy for more information.

In this podcast episode, host Ole Olesen-Bagneux welcomes Simon Harrer, celebrated for his influential work in the realm of software engineering and his pivotal role in championing the Data Mesh movement in Germany.Simon takes us on a journey from teaching Java programming and co-writing the book "Java by Comparison" to transitioning into the data world, spurred by his fascination with the transformative potential of Data Mesh. He recounts the challenges and triumphs of translating Zhamak Dehghani’s "Data Mesh" book into German.As the conversation unfolds, Simon elucidates the relationship between software engineering principles and Data Mesh, emphasizing the significance of data contracts and the process of fostering a data-centric culture within traditionally software-focused teams. His insights shed light on the early adoption stages of Data Mesh and the first data decentralization success stories in Germany.🎧 Tune in to this episode to dive deep into Simon Harrer's journey of bridging the worlds of software engineering and data architecture, exploring his visionary take on Data Mesh in the German tech landscape, and the narrative of data contracts as a cornerstone for the future of data utilization.Bonus ⭐▶️  Watch the episode (video) on Youtube📖  Download our ebook "The Practical Guide to Data Mesh"Hosted by Ausha. See ausha.co/privacy-policy for more information.

In this podcast episode, host Ole Olesen-Bagneux is joined by Jason Hare, a distinguished figure in the field of data governance, who shares his journey from pioneering data security measures to becoming an emeritus expert in governance.Jason discusses the vital need to delineate data governance from data management. Unlike data management, data governance is never an operating model but people, and from his point of view there is no way to automate it. Further enriching the discussion, he delves into the nuances of data mesh, critiquing its misapplication, and advocating for a balanced approach that aligns with organizational risk management.Despite retiring and fighting against a stage four cancer, Jason remains a resilient and vibrant contributor to the data community, offering insights through his critiques, participating in discussions on LinkedIn, and nurturing the next generation of data governance professionals through teaching and thought leadership. 🎧 Tune in to this episode to explore Jason Hare's legacy of resilience, his critical perspectives on data governance versus data management, and his vision for a balanced and ethical approach to data architecture.Bonus ⭐▶️  Watch the episode (video) on Youtube📖  Download our ebook "The Practical Guide to Data Mesh"Hosted by Ausha. See ausha.co/privacy-policy for more information.

In this podcast episode, host Ole Olesen-Bagneux sits down with Manuel Brnjić, pioneer of the Austrian data meshing community and CTO of Blueprint. Manuel shares his transformative journey from a software engineering background to becoming a leading advocate for data mesh and innovative data management strategies.Manuel reflects on the pivotal moments and challenges that shaped his career, emphasizing the shift from traditional data warehousing to embracing data mesh's decentralized approach. He discusses the critical role of effective data discovery and management in facilitating collaboration between data scientists and engineers, and advocates for the Product Owner for Search role in organizations.Throughout the conversation, Manuel offers insights into the evolving landscape of data management, the importance of understanding and leveraging data for machine learning and AI projects, and the emergence of data marketplaces as a means to democratize data access and collaboration.🎧 Tune in to this episode to hear Manuel Brnjić's journey through the realms of data mesh, his insights on bridging the gap between data science and engineering, and his vision for the future of data management.Bonus ⭐▶️  Watch the episode (video) on Youtube📖  Download our ebook "The Practical Guide to Data Mesh" Hosted by Ausha. See ausha.co/privacy-policy for more information.