The Data Playbook Podcast

Dataminded
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🎙️ The Data Playbook is a podcast where we aim to build a playbook for data leaders. We do that through a series of interviews with other data leaders, data practitioners and data experts. In each episode, we break down real-world data challenges: from building modern architectures and embracing Data Mesh to navigating cloud sovereignty, we help you make smarter decisions one play at a time.

  1. 1 天前

    Data Contracts and Data Products: What AI Agents Need to Access Enterprise Data - The Data Playbook podcast with Simon Harrer & Kris Peeters

    Simon Harrer, CEO and co-founder of Entropy Data, returns to the Data Playbook podcast to make a case every data leader will need to reckon with soon: AI agents need access to company data, and the access controls built for humans do not hold once an agent can request, use, and reuse that access without anyone reviewing it. Simon Harrer and host Kris Peeters, CEO of Dataminded, unpack the difference between data contracts and data products, how purpose-based access control catches an agent that drifts from the purpose it was granted, and what a semantic layer does for a company's data model, connecting an order ID in one system to the same field under a different name in another. They also get into data lineage, the return of data mesh now that agents need a foundation to work from, and the data product builder Simon Harrer's team runs on Claude Code. The conversation draws on the BARC research spotlight Entropy Data sponsored, "A Data Marketplace Is What Your Agents Need," written by BARC analyst Florian Bigelmaier. 🌐 More at www.dataminded.com

  2. 8月20日

    Data Mesh After the Hype: Why Data Products Matter More Than Ever

    Many organisations embraced Data Mesh. Many also discovered that organisational change is much harder than technology change. In this episode, Kris Peeters speaks with Arif Wider about what remained valuable after the initial hype around Data Mesh settled. They discuss why Data Products have become the practical foundation for modern data organisations, where Data Contracts fit into the picture, and how organisations can modernise legacy platforms without starting over. The conversation also looks ahead at AI-assisted software engineering, cross-company data sharing, and the skills future data teams will need. Topics include: Data Mesh in practiceData ProductsData ContractsData ArchitectureLegacy data warehousesAI agents in software engineeringThe future of data engineering🌐 More at https://www.dataminded.com/ Connect with Arif Wider Website: http://arifwider.comResearchGate: https://www.researchgate.net/profile/Arif-WiderBook - Data Mesh in Action: https://www.oreilly.com/library/view/data-mesh-in/9781098108502/

  3. 8月5日

    Why AI Agents Need Knowledge Graphs, Not Just Data - The Data Playbook Podcast with Kris Peeters & Eric Broda

    Very few companies manage 10,000 of anything today, and Eric Broda thinks that's the real challenge behind AI agents at scale. Broda runs Broda Group Software, helping banks and insurers build agent ecosystems he calls the agentic mesh. With host Kris Peeters, CEO of Dataminded, Broda explains why agents need a data mesh foundation, why one client tracks R&D tax credit exposure by watching code commits in real time, and why his team moved from fine-grained knowledge graphs to coarse markdown files after RAG broke down at scale. Find Eric Broda's work at agenticmesh.substack.com and on LinkedIn and YouTube under The Agentic Mesh Podcast. 🌐 More at www.dataminded.com

  4. 7月22日

    How Tomorrowland Keeps Data Simple While Scaling Globally

    Modern data platforms are becoming more powerful. They are also becoming more complex. In this episode of The Data Playbook, Kris Peeters talks with Wannes Rosiers, Head of IT & Development at WEAREONE.world, the company behind Tomorrowland, about why many organisations solve familiar data problems with increasingly complicated technology. They explore what actually matters when building data platforms: delivering quickly, keeping systems maintainable, bringing business knowledge closer to engineering teams, and preparing for AI without rebuilding the entire technology stack. The conversation covers: Data platform architectureData MeshData engineeringAI adoptionPlatform simplicityData leadershipEnterprise architecture🌐 More at https://www.dataminded.com/

  5. 7月8日

    How NMBS/SNCB Uses Data Science to Improve Public Transport

    Building advanced analytics is rarely a technology challenge alone. Success depends on understanding the organisation, delivering value incrementally and enabling teams to solve real operational problems. In this episode, Kris Peeters speaks with Max Hubeau, Manager of the Advanced Analytics Team at NMBS/SNCB. They discuss how a central analytics team works alongside business teams, how data science supports train punctuality, passenger counting and energy forecasting, and why AI becomes valuable when it fits existing operations instead of disrupting them. The conversation also explores data platforms, AI-assisted development, and practical lessons for CIOs, CDOs, Heads of Data and analytics leaders building data capabilities inside large organisations. 🌐 More at https://www.dataminded.com/ Follow Dataminded for more conversations with data leaders shaping the future of Data & AI.

  6. 6月24日

    Agentic AI in Production: What Data Leaders Need to Know Before Scaling AI

    Agentic AI is everywhere. Production-ready AI is not. In this episode, Kris Peeters talks with Dataminded Data Engineer Jesus Garcia about the gap between AI hype and enterprise reality. Drawing on lessons from building a large-scale Agentic AI platform, they discuss security, governance, user adoption, change management, AI skills, and the future role of engineers in an AI-first world. For data leaders, CIOs, CDOs and technology executives, this conversation provides practical insights into what it takes to deploy AI systems that people trust and actually use. 🌐 More at https://www.dataminded.com/ Topics covered: Agentic AI, Enterprise AI, RAG, AI Security, AI Governance, Change Management, Data Leadership, AI Adoption, Data Engineering. Chapters: 00:00 Agentic AI in Production: Introduction 01:34 Enterprise Knowledge Management with AI Agents 05:19 RAG, Vector Search and Agentic AI Explained 07:36 Deploying Agentic AI at Enterprise Scale 12:14 AI Governance, Security and Access Control 17:06 What Data Leaders Can Learn from AI Security Incidents 25:34 Will AI Replace Software Engineers? 40:20 Why Coding Is Easier for AI Than Business Decisions 43:36 Real Productivity Gains from AI Skills and Automation 49:35 The Limits of Large Language Models 56:44 Change Management: The Real Challenge of AI Adoption

  7. 6月11日

    Can We Outsource Thinking? AI, Education, and the Future of Knowledge Work

    Agentic AI is changing how we build software, manage data, conduct research, and learn new skills. But as AI takes over more cognitive tasks, a fundamental question emerges: what capabilities do humans still need to develop themselves? In this episode, Kris Peeters sits down with Frank Neven, Professor of Computer Science at Hasselt University and Vice Director of the Data Science Institute, to discuss the future of data engineering, AI-assisted learning, database systems, and human-AI collaboration. The conversation explores: Why understanding remains essential in an AI-driven worldHow universities are adapting to AI-powered educationWhat the latest database research tells us about the future of data platformsThe rise of agentic coding and AI-native software developmentHow AI is transforming scientific researchWhy structured knowledge and semantic data are becoming more valuableThis episode is particularly relevant for data leaders, CIOs, CDOs, architects, and engineering teams navigating the rapid evolution of AI. 🌐 More at https://www.dataminded.com/ #DataEngineering #AgenticAI #DataLeadership #ArtificialIntelligence Chapters: 00:00 From Theory to Data Engineering 03:20 AI and Healthcare Data Integration 06:00 The Data Science Institute in Practice 19:00 Why Computer Science Education Matters 25:40 AI in Education: Opportunity and Risk 35:00 You Can Outsource Reasoning, Not Understanding 38:45 Agentic AI and the Future of Databases 45:50 How AI Is Changing Research 51:45 Personal AI Systems and Knowledge Management 59:30 Staying Open-Minded in Technology

  8. 4月9日

    The Data Challenge behind the Einstein Telescope - The Data Playbook Podcast with Kris Peeters & Tjonnie Li

    What does it take to listen to the universe? In this episode of The Data Playbook, Kris Peeters talks with Tjonnie Li, Professor at KU Leuven, about gravitational waves, black hole collisions, and the massive data challenge behind the Einstein Telescope. They explore how modern science is becoming deeply data-driven, why the next generation of research infrastructure will need to operate like a science factory, and how AI, automation, and large-scale compute could become essential for turning petabytes of raw data into scientific discovery. This episode covers: what gravitational waves are and why they matterhow black hole collisions are measuredwhy the Einstein Telescope could transform European sciencethe data, compute, and storage challenge behind next-gen physicswhat academia can learn from industry about automation and orchestrationhow AI agents could support future scientific discovery👉 Subscribe for more episodes: https://www.youtube.com/@Dataminded 👉 Watch on YouTube: https://youtu.be/aBbykwnsmpI 👉 Explore more content & insights: https://dataminded.com 👉 Follow Dataminded on LinkedIn: https://www.linkedin.com/company/dataminded #DataEngineering #AI #GravitationalWaves #EinsteinTelescope #BigData #ScientificComputing #ResearchInfrastructure #DataPlaybook Chapters: 00:00 Intro: Tjonnie Li joins The Data Playbook 02:08 What gravitational waves are - in plain English 05:19 Why science is becoming data-driven 11:28 How we measure black hole collisions today 15:50 The Einstein Telescope: ambition, timeline, and European bid 19:44 The data infrastructure challenge: from terabytes to petabytes 30:56 AI, automation, and the idea of a “science factory” 38:50 Why this matters for Europe, innovation, and society

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簡介

🎙️ The Data Playbook is a podcast where we aim to build a playbook for data leaders. We do that through a series of interviews with other data leaders, data practitioners and data experts. In each episode, we break down real-world data challenges: from building modern architectures and embracing Data Mesh to navigating cloud sovereignty, we help you make smarter decisions one play at a time.

資訊

  • 創作者
    Dataminded
  • 活躍年代
    2025年 - 2026年
  • 集數
    33
  • 年齡分級
    兒少不宜
  • 版權
    © Dataminded
  • 節目網站
    The Data Playbook Podcast

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