The Data Democracy

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

In this podcast episode, host Ole Olesen-Bagneux welcomes Ayodele Oluleye, a trailblazer in Africa's data and tech scene. Hailing from Nigeria, he unfolds his transformative journey from an engineering student and graphic designer to becoming a leading data professional and author.The conversation delves into Ayodele's pivotal career transitions, highlighting his leap into analytics and his passion for writing, which led to the publication of his influential book on exploratory data analysis with Python. He shares the challenges and triumphs of authorship, as well as the impact his work has had on budding data scientists.Further enriching the discussion, Ayodele introduces DataFest Africa, a groundbreaking conference he played a crucial role in organizing, aimed at unifying the continent's data professionals and enthusiasts. He provides insights into the evolving data and tech landscape across Africa, emphasizing the community-driven growth, governmental support, and the continent's emergence as a tech talent hub.

In this podcast episode, host Ole Olesen-Bagneux sits down with Scott Hirleman, the host of the Data Mesh Radio. Scott takes us through his unexpected journey into the heart of the data mesh community, sharing insights from his foundational role in fostering a global conversation around this revolutionary approach to data architecture.From the misinterpretations that led him to dive deep into the subject, to the establishment of the influential Data Mesh Radio, Scott recounts the story of how his engagement with the concept grew from a curiosity to a passion, culminating in the creation of his company, Data Mesh Understanding. He delves into the challenges of democratizing data, the critical importance of empathy in tech, and the transformative potential of data mesh to enhance not just business operations but the very culture of data management.Scott emphasizes the ongoing struggle to realize the full vision of data mesh, noting the progress made and the hurdles that remain. He discusses his mission through Data Mesh Understanding to help organizations align their data strategies with their business objectives, thus unlocking new levels of efficiency and innovation.

In this podcast episode, host Ole Olesen-Bagneux welcomes Christopher Chin, known for his transformative work as the Data Communicator. Christopher shares his journey from data visualization engineer to a leading coach in data communication and presentation. He highlights the critical role of storytelling and effective communication in transforming complex data into impactful insights.Christopher recounts pivotal moments that steered his career towards empowering data professionals with soft skills, drawing from his unique background in music composition and experience as a data journalist. These experiences, he believes, laid the foundation for his approach to making data accessible and engaging to a wider audience.Throughout the discussion, Christopher provides valuable insights for introverted tech professionals on leveraging their strengths in public speaking and leadership. He addresses the importance of ethical communication and the potential of skilled communicators to positively influence IT departments and organizations.

In this podcast episode, host Ole Olesen-Bagneux is joined by Pia Virmalainen Jøsendal, a leading authority in the field of enterprise architecture. Pia tells us about her background, from her studies in humanistic informatics to her extensive experience in both the industrial and public sectors. She emphasizes the nuanced impact of technology from a humanities and social sciences perspective, and her role in helping to bridge the technology-business divide through innovative enterprise architecture practices.The core of the conversation focuses on Pia's unique approach to enterprise architecture, which she compares to an organization's vital circulatory system, highlighting how it can infuse agility, connectivity and innovation into business and technology landscapes. She shares her insights into the evolution of enterprise architecture in the age of the data mesh, addressing the challenges and opportunities presented by decentralized data architectures.Further exploring the stereotypes and misconceptions surrounding enterprise architects, Pia argues for a more integrated and organic approach to her discipline, stressing the importance of collaboration, adaptability and the essential role of architects as facilitators and translators between technical and business domains.

In this podcast episode, host Ole Olesen-Bagneux welcomes Tiankai Feng, acclaimed as the Data Musician, who holds a position of Data Strategy & Data Governance Lead at Thoughtworks Europe. Tiankai recounts his journey to the pinnacle of data strategy and governance, while harmonizing his career with his passion for music.Tiankai opens up about his innovative approach to demystifying data through melody, which has not only made data governance more accessible, but has also infused fun into the traditionally serious field of data work - challenging and reshaping stereotypes along the way. His songs simplify complex data concepts into catchy tunes that resonate across professional and personal boundaries, improving literacy and reducing resistance to data governance.The episode also discusses the challenges of balancing compliance with innovation in data governance, the dynamics of remote work, and the impact of music on fostering a positive data culture. Tiankai shares insights on how proactive, ethical data management practices and a creative approach can align to navigate the evolving landscape of data strategy and governance.

In this podcast episode, host Ole Olesen-Bagneux sits down with Pierre-Charles Igras, the visionary behind the Data Literacy Institute and a leading Chief Data Officer in the energy sector. Pierre-Charles shares with us his background, from network engineering to leading data transformation programs within multinational corporations, and talks about his mission to democratize data understanding through the foundation of the Data Literacy Institute.Throughout the conversation, Pierre-Charles outlines the pivotal shifts in his career that led him from the technical trenches of data management to the strategic forefront of data governance. He elaborates on the inception of the Data Literacy Institute, a platform designed to empower individuals and organizations with the essential skills to navigate the data-driven world, offering courses in both English and French.The discussion also focuses on the challenges and successes of implementing data catalogs and governance frameworks in large-scale enterprises, highlighting Pierre-Charles' unique insights into auditing, reporting, and ensuring data privacy and security. His experiences reveal the critical role of data catalogs in regulatory compliance, data protection, and fostering a culture of data literacy within organizations.

In this podcast episode, host Ole Olesen-Bagneux welcomes Matthias Niebuhr, a renowned IT law expert and key figure at BDO Legal, and Member of the EU Commission's expert group on B2B data exchange agreements under the EU Data Act. This special episode explores the revolutionary changes and challenges the EU Data Act will introduce in the realm of data management and digital rights.Matthias brings over two decades of legal expertise to the table, delving into the intricate details of the EU Data Act. He lays out the significance of this legislative milestone, particularly in empowering users and reshaping the landscape of data access in the European Union. From public transport to IoT devices, Matthias illuminates how the Act will transform data dynamics across various sectors.The dialogue traverses various critical aspects of the EU Data Act, including its implications for large-scale manufacturers and the inevitable shift towards user-centric data management. Ole and Matthias discuss the potential broader societal impacts of the EU Data Act, contemplating its role in democratizing data and fostering a new era of transparency and fairness in digital data exchange.

In this podcast episode, host Ole Olesen-Bagneux welcomes John Thomas, a distinguished expert in data management with a deep background in engineering and over 15 years of experience in data space. John discusses his journey, touching on global trends in data technology adoption and the persistent challenge of ensuring data quality.The heart of the conversation delves into John's pioneering work in data contracts and data mesh. He elaborates on the practicalities and innovations of contract-driven architectures, highlighting his role in their implementation at Volvo Cars, offering a glimpse into real-world applications and challenges.The discussion further explores the balance between legacy and modern technologies in data management, with John voicing his concerns about maintaining fundamental data modeling principles amidst rapid technological advancements. He also reflects on the future of enterprise data management, particularly the critical role of data quality in the age of generative AI.

In this podcast episode, host Ole Olesen-Bagneux is joined by Svyatoslav Kotusev, a renowned Enterprise Architecture Researcher and author of ‘The Practice of Enterprise Architecture: A Modern Approach to Business and IT Alignment' (SK Publishing). Svyatoslav recounts his evolution from a software developer to an enterprise architecture researcher, laying the foundation for his innovative CSVLOD model, which challenges conventional enterprise architecture practices.Delving into the shortcomings of traditional frameworks like TOGAF, Svyatoslav advocates for an empirical, communication-focused approach in enterprise architecture. He emphasizes the necessity of bridging the gap between IT and business leaders, crucial for effective decision-making and democratizing data within organizations.The discussion pivots to the future of enterprise architecture, where Svyatoslav offers his perspective on the evolving role of architects and the natural development of practices, independent of prescriptive frameworks. He predicts a more integrated, IT-dependent organizational landscape, necessitating adaptive and dynamic enterprise architecture strategies.

In this podcast episode, host Ole Olesen-Bagneux welcomes John O'Gorman, a visionary in data management and semantic analysis, and Co-Founder and CEO of Semantium, Inc. John traces his path from the University of Calgary to his pioneering work in knowledge graphs, highlighting pivotal moments and significant breakthroughs in his career.Delving into his nuanced approach to data classification and knowledge graphs, John discusses the complex dance between language and data. He shares key insights into making data more accessible and the critical role of precise language in the realm of data analysis.The conversation also explores John's strategies for managing both structured and unstructured data, with a particular focus on technical documentation. He stresses the importance of uniform language usage in effective data management, and how it forms the backbone of data comprehension and utility.

In this podcast episode, host Ole Olesen-Bagneux welcomes Jesse Anderson, an esteemed figure in big data, Managing Director at Big Data Institute, and author of "Data Teams: A Unified Management Model for Successful Data-Focused Teams". Jesse shares insights from his experiences at Cloudera and as a software engineer, emphasizing a holistic approach to big data that integrates both technical skills and organizational strategy.Jesse highlights the importance of structuring data teams effectively, advocating for a triad of specialized groups: data science, data engineering, and operations. He critically assesses the common pitfalls companies face in big data, such as overestimating their capabilities and neglecting the organizational aspects essential for success.The conversation pivots to the evolution of big data, where Jesse addresses its maturity, challenges, and the misconceptions fueled by industry hype. He offers a pragmatic view on the value creation of data teams, urging a focus on tangible business outcomes and a strategic approach to technology adoption.

In this podcast episode, host Ole Olesen-Bagneux welcomes Joe Reis, a distinguished data science and engineering expert, CEO of Ternary Data, and co-author of "Fundamentals of Data Engineering". Joe opens by recounting his rich career spanning over two decades, from data science to machine learning, and his transition to influential author and educator.Looking back at the genesis of his best-selling book, Joe outlines his intent to bridge the educational gap in data engineering, the challenges he faced in its publication, and the importance of effective book promotion. Joe also introduces his forthcoming work, "Practical Data Modeling", which advocates for a 'Mixed Model Arts' approach akin to mixed martial arts, essential for navigating today's complex data landscape.The episode wraps up with a discussion on the current state and future of AI and data modeling, where Joe offers his candid perspectives on the hype and reality of AI, underscoring the need for a balanced view that recognizes AI's potential without falling prey to over-enthusiasm.

In this end-of-the-year special, host Ole Olesen-Bagneux sits down with Luc Legardeur - Zeenea's visionary CEO - to share his journey in the world of technology from his early days at Microsoft and Oracle, with valuable lessons learned along the way. First, the conversation explores the key takeaways from the first 14 episodes of The Data Democracy podcast, presenting a rich mosaic of insights covering Data Mesh, AI and evolving technology landscapes. Then, the episode delves into the essential books and principles that shaped Luc's entrepreneurial spirit, reflecting on his transition from a seasoned technology professional to a leading innovator at Zeenea. The dialogue concludes with a look at Zeenea's future, where Luc unveils the company's ambitious roadmap for 2024, revealing groundbreaking features and a focus on data democracy. He emphasizes Zeenea's commitment to developing customer-centric products, hinting at a federation of data catalogs and innovative approaches to data product design.

In this podcast episode, host Ole Olesen-Bagneux engages with David Skrobela, the managing director of Earley Information Science and an innovator in the field of information management. David shares his unconventional journey from studying human biology to pioneering in the fields of data management and information architecture. David takes us on a deep dive into the complexities of data organization. Sharing his rich experiences from various industries, he emphases the challenges of managing product information, the importance of prioritizing data attributes, and the need for effective governance to ensure data quality. The conversation also explores the synergy between data structuring and searchability, underscoring the importance of aligning with user behaviors for efficient data retrieval. The episode concludes with insights on the future of information architecture in the context of generative AI, stressing the necessity of meticulous data structuring, particularly in highly regulated industries.

In this podcast episode, host Ole Olesen-Bagneux welcomes Charlotte Ledoux, an accomplished Paris-based expert in data and AI governance. Charlotte discusses her professional evolution from engineering to data consulting and highlights her role in 'Paris Data Ladies', advocating for women in tech. The conversation explores the cultural approach to entrepreneurship and gender disparity in tech leadership in France. Charlotte shares insights into the French tech scene, noting the growth of startups and the importance of strategic funding. She emphasizes the need for more women in management roles and discusses the changing landscape of AI governance. The episode concludes with Charlotte's vision for AI's future, pleading for responsible development, ethical AI, and governance akin to GDPR standards.

In this podcast episode, host Ole Olesen-Bagneux engages in a conversation with Karl Ivo Sokolov, a leading figure in data management and AI at Specific Group. This episode offers an exploration of Ivo's unique journey from a background in software development and banking to spearheading data innovation. Ivo provides a comprehensive overview of the evolution and current state of data management, big data, and cloud computing, with a particular focus on their impact and transformation in European markets. He delves into the concept of data democracy, discussing the balance of accessibility and responsibility in data usage within organizations. The conversation also touches on the vital role of AI and its governance in shaping the future of technology and data strategies. Ivo shares his insights on the challenges and opportunities facing European technology.

In this podcast episode, host Ole Olesen-Bagneux sits down with Gabs Ferreira, who has made a remarkable transition from a software developer to a renowned technology storyteller and content creator. Gabs delves into the art of tech storytelling, emphasizing the significance of personal narratives in making technology relatable. The discussion also explores the vibrant Brazilian tech scene, its regional disparities & enthusiastic tech community, and the growing need for Portuguese tech content. Concluding the discussion, Gabs shares his thoughts on the future of technology storytelling in the age of generative AI. He expresses optimism about the role of AI in enhancing content creation and shares his vision for further democratization of tech.

In this podcast episode, host Ole Olesen-Bagneux interviews Katharine Jarmul - Senior Data Scientist at ThoughtWorks and author of "Practical Data Privacy" (O'Reilly) - where she offers a unique perspective on the evolving field of data privacy and its integration with technology. The conversation traces Katharine's journey from her early days at the Washington Post to her current interest in data privacy in machine learning. She emphasizes the importance of understanding the role of data in society and in people's lives, and delves into the concept of privacy engineering - explaining its multidisciplinary nature and the need to strike a balance between data utility and user privacy. The episode concludes with a discussion on the democratization of data and the future of data privacy, where Katharine envisions a world where data users have more say and a better understanding of how their data is used, which could reshape the way we approach societal challenges.

In this podcast episode, host Ole Olesen-Bagneux engages in a conversation with Säde Haveri, a seasoned data management freelancer specializing in data governance, data catalogs and data modeling. The dialogue focuses on the intricacies of data democratization, and the crucial importance of establishing a common language between technical and business users. Säde shares her extensive experience in the data sector, focusing on the interface between data and end-users. She stresses the need to involve both IT and business users for successful implementation of data catalogs, and the collaborative nature of data governance. The episode concludes looking at the challenges of making technology accessible to non-technical users, and proposes the idea of measuring the success of data democratization initiatives using innovative KPIs.

In this podcast episode, host Ole Olesen-Bagneux interviews Anna Skoulikari, an accomplished tech writer by day and a renowned Git educator by night - author of "Learning Git" (O'Reilly). Together, they embark on a journey to demystify Git, one of the cornerstones of modern tech. Anna's mission is clear: to make Git accessible to everyone, regardless of their technical background. Through her user-friendly approach, she unravels the complexities of version control, empowering individuals from diverse fields to harness Git's potential. The conversation explores the challenges posed by Git's terminology and the importance of a solid mental model. Anna envisions a future where Git becomes an indispensable tool for professionals in diverse industries, fostering innovation, collaboration and data democracy.

In this podcast episode, host Ole Olesen-Bagneux sits down with Sune Selsbæk-Reitz - Data Evangelist at Demant and an expert in integrating SAFe agile methodologies with data management principles - to explore the nuances and challenges at this intersection. The dialogue draws on Sune's experience, shedding light on the delicate balance required to harness the agility of SAFe while ensuring real-time, democratized access to data. Sune gives an insight into the complexities faced when aligning agile development with dynamic data demands, particularly emphasizing the role of BI reporting. The episode concludes with reflections on the future of SAFe in the realm of data management and its potential to redefine the way organizations approach agile development in tandem with data democratization.

In this podcast episode, host Ole Olesen-Bagneux welcomes Hala Nelson - an AI pioneer - Professor of Mathematics at James Madison University and the author of "Essential Math for AI" (O'Reilly). The two look at the immense power AI offers, from revolutionizing industries like healthcare and climate to introducing groundbreaking solutions in material design and more. With great power comes immense responsibility. Hala highlights the importance of checks and balances in the world of AI, warning against the concentration of this formidable tool in the hands of a few. Drawing on concrete examples, she stresses the pressing need for accurate data, emphasizing its fundamental role in the AI ecosystem. The episode concludes touching upon the often-overlooked human element, drawing attention to the immense power wielded by those behind these machines and the need for vigilant governance.

In this podcast episode, host Ole Olesen-Bagneux is joined by Samia Rahman - one of the rare data mesh pioneers that has worked directly with Zhamak Dehghani and a proven expert in enterprise data strategy and governance - to explore the interconnections between data mesh, data democracy, and domain complexities in healthcare and pharmaceutical industries. The dialogue travels through Samia's diverse experiences, emphasizing the importance of a synergetic approach between technical and domain expertise to unlock the full value of data. Samia shares real-world insights on the challenges and bottlenecks faced in implementing data mesh in highly regulated and centralized industries, and highlights the essential role of domain understanding and respect in bridging the gap between IT and domain specialists. This episode concludes with thoughts on the future trajectory of data mesh, anticipating its increased applicability in specific industries, particularly those involving a spectrum of products and complexities.

In this podcast episode, host Ole Olesen-Bagneux sits down with Ronald G. Ross, aka « the father of business rules » with over 45 years of experience, to delve into the intricate relationship between business rules, data democracy, and the progression of technology. Tracing Ronald's rich career trajectory, the discussion emphasizes the importance of business rules as criteria guiding behavior and shaping organizational knowledge. The duo draws parallels between societal laws and business rules, highlighting their shared objective of fostering transparency and understanding. Ron's experience across various industries unveils the universality of business challenges, despite the apparent uniqueness inherent to each sector. The conversation concludes with a critique of the technology sector, stressing the urgency for it to step up, meet real organizational needs, and break free from the confines of a "priesthood of programmers". Ronald's vision calls for leveraging today's powerful machines to revolutionize our use of natural language, enabling a more inclusive and knowledgeable future.

In this podcast episode, host Ole Olesen-Bagneux interviews Dr. Irina Steenbeek, a seasoned data management expert, to unravel the complex fabric of data democracy and its intertwined relationship with data lineage. Stepping into the realms of data democratization, the conversation emphasizes the need for prioritizing organizational objectives over mere tool selection. Irina shares her insights on the challenges of achieving comprehensive data lineage in multi-cloud environments, drawing attention to the blend of automation and manual efforts required. The duo also sheds light on the rising complexities of data mesh, underscoring the need for clarity in its definition and execution. Further enriching the discussion, Irina's anecdotes from her professional journey illustrate the motivation behind persevering in data management projects, while also highlighting the challenges and unpredictability inherent to the field.

In this podcast episode, host Ole Olesen-Bagneux interviews Malcolm Chisholm, an acclaimed international data governance expert, about the concept of data democracy and its implications for modern organizations. The conversation delves into the historical backdrop of IT-business divide, touching on the recurring rebellions against conventional IT approaches that have emerged over the years. Malcolm emphasizes that data democratization should empower individual teams to independently manage and utilize data, reflecting a shift towards decentralization. He highlights the critical role of no code and low code solutions, along with cloud technology, in enabling end user computing and the expansion of data-driven capabilities. The interview also explores the challenge of finding the right balance between decentralized data activities and centralized governance to ensure responsible data practices within a data democracy framework.

Join us in this insightful episode of "The Data Democracy" podcast as host Ole Olesen-Bagneux engages in a candid conversation with Jenny Andrew, Head Of Data at The Chartered Society of Physiotherapy and DAMA UK committee member. The episode delves into the complexities of transforming legacy technology ecosystems while fostering data democracy within an organization. Jenny emphazises the nuances of eligibility and ineligibility, the challenges of respecting legacy systems while modernizing data practices, and the importance of setting clear boundaries in a democratic data environment. This interview sheds light on the intricacies of navigating data democracy and aligning it with organizational and societal values.