Alle afleveringen
36 afleveringen, van nieuw naar oud
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Common Platform, Local Ownership: Scaling Data Products at Atlas Copco, with Tom Delesie
5 november 2026 · 50 min
Tom Delesie, data analytics manager at Atlas Copco, joins host Kris Peeters to talk about building a common data platform for a global, decentralised company. His team brought several platforms together into one Intelligence Hub, giving every team the same foundations while leaving ownership of data products with the business. Lees meer
Tom explains how templated rooms give teams a shared way of working, why some work is deliberately kept out of the reusable layer, how transparent costs and open visibility encourage reuse, and why a clearly written purpose matters as much as good engineering. He also shares how the platform is getting ready for AI agents.
Resources shared by Tom:
🎥 Enabling the things that shape our lives, Atlas Copco Group: https://www.youtube.com/watch?v=sk3QfMgPyZM
🏭 Atlas Copco: https://www.atlascopco.com
💼 Jobs at Atlas Copco: https://www.jobs.atlascopcogroup.com
🌐 More at www.dataminded.com
Chapters:
0:00 Introduction
0:37 Atlas Copco and its four business areas
3:09 Tom's role: platform and use cases5:46 From five data platforms to one Intelligence Hub
7:30 Decommissioning legacy platforms
9:11 Aligning platform leaders across business areas
11:05 Balancing freedom and ownership
14:57 Transparent costs and an internal data economy
18:13 Reuse, access requests and sensitive data
22:05 Shared and private data products
24:06 The data product room
29:39 Deprecating data products
30:01 Why a clear purpose drives adoption
33:10 Operational entities and consumption rooms
36:26 Self-service and enablement teams
40:20 AI agents as new platform users
43:01 Dashboards, semantic layers and KPI definitions
47:30 Freedom first, convergence later
Guest: Tom Delesie, Data Analytics Manager, Atlas CopcoHost: Kris Peeters, CEO, Dataminded
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How to Get the Business Behind a Data Platform Migration, with Raghid Bsat
15 oktober 2026 · 47 min
Raghid Bsat, data platform engineer at Dataminded, joins the Data Playbook podcast to explain why a data platform migration is 75% analysis and 25% execution. With host Kris Peeters, CEO of Dataminded, he walks through the five phases in his migration guidebook: vision, governance, discovery, execution and cutover. Lees meer
They cover how to win over business stakeholders who see no reason to change a working system, when to lift and shift and when to refactor, and how migrator and validator AI agents now handle much of the execution. Raghid also shares what makes the next migration easier: tests, documentation and vendor-agnostic tooling.
📘 Read the Migration Guide: https://migrations.cloudrun.datamaturitytest.com/
Chapters:0:00 Introduction1:03 Why engineers dread migrations2:47 Why companies migrate: cost, licences and sunset products4:08 The payoff: less maintenance on the new platform5:44 The migration guidebook and its five phases7:22 Tier one and tier two migrations8:02 Phase 1: vision and success criteria11:34 Phase 2: governance and stakeholder management13:06 Lift and shift or refactor18:08 Handling new feature requests during a migration20:55 Replicate the legacy bug or fix it23:42 Phase 3: discovery and the source-to-target dependency map29:22 When the source systems are deprecated too32:31 Phase 4: execution with AI agents35:54 Validation and faster feedback loops38:17 Phase 5: cutover and decommissioning41:53 How to reduce future migrations45:20 Data problems are social problems
🌐 More at www.dataminded.com
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Data Producer Enablement and Developer Experience for Data Teams - The Data Playbook podcast episode with Andrew Jones & Kris Peeters
16 september 2026 · 52 min
Andrew Jones, staff data engineer at LocalStack, returns to the Data Playbook podcast to make the case that giving business teams raw access to company data was never enough. The real fix is data contracts, tooling built around how producer teams already work, and platforms with guardrails baked in rather than bolted on through review. Lees meer
Jones and host Kris Peeters, CEO of Dataminded, cover a data platform that failed because it forced producers into unfamiliar tooling, and the one that replaced it by meeting those same teams where they already worked. They also dig into where self-service stops, why so many data teams hold onto being the bottleneck, and what happens to data semantics once AI agents start asking the questions people used to ask. Jones tells the story of an internal chatbot that gave him a feature-usage number he knew, on instinct, had to be wrong.
🌐 More at www.dataminded.com
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Data Contracts and Data Products: What AI Agents Need to Access Enterprise Data - The Data Playbook podcast with Simon Harrer & Kris Peeters
2 september 2026 · 1 uur 2 min
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. Lees meer
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
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Data Mesh After the Hype: Why Data Products Matter More Than Ever
20 augustus 2026 · 57 min
Many organisations embraced Data Mesh. Many also discovered that organisational change is much harder than technology change. Lees meer
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 practice
Data Products
Data Contracts
Data Architecture
Legacy data warehouses
AI agents in software engineering
The future of data engineering
🌐 More at https://www.dataminded.com/
Connect with Arif Wider
Website: http://arifwider.com
ResearchGate: https://www.researchgate.net/profile/Arif-Wider
Book - Data Mesh in Action: https://www.oreilly.com/library/view/data-mesh-in/9781098108502/
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Why AI Agents Need Knowledge Graphs, Not Just Data - The Data Playbook Podcast with Kris Peeters & Eric Broda
5 augustus 2026 · 43 min
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. Lees meer
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
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How Tomorrowland Keeps Data Simple While Scaling Globally
22 juli 2026 · 37 min
Modern data platforms are becoming more powerful. They are also becoming more complex. Lees meer
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 architecture
Data Mesh
Data engineering
AI adoption
Platform simplicity
Data leadership
Enterprise architecture
🌐 More at https://www.dataminded.com/
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How NMBS/SNCB Uses Data Science to Improve Public Transport
8 juli 2026 · 54 min
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. Lees meer
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.
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Agentic AI in Production: What Data Leaders Need to Know Before Scaling AI
24 juni 2026 · 58 min
Agentic AI is everywhere. Production-ready AI is not. Lees meer
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
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Can We Outsource Thinking? AI, Education, and the Future of Knowledge Work
11 juni 2026 · 1 uur 2 min
Agentic AI is changing how we build software, manage data, conduct research, and learn new skills. Lees meer
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 world
How universities are adapting to AI-powered education
What the latest database research tells us about the future of data platforms
The rise of agentic coding and AI-native software development
How AI is transforming scientific research
Why structured knowledge and semantic data are becoming more valuable
This 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
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The Data Challenge behind the Einstein Telescope - The Data Playbook Podcast with Kris Peeters & Tjonnie Li
9 april 2026 · 53 min
What does it take to listen to the universe? Lees meer
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 matter
how black hole collisions are measured
why the Einstein Telescope could transform European science
the data, compute, and storage challenge behind next-gen physics
what academia can learn from industry about automation and orchestration
how 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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Scaling Data in Aviation: Inside Brussels Airlines’ Data Strategy - The Data Playbook Podcast with Kris Peeters & Tom Holsteens
26 maart 2026 · 1 uur 1 min
How do you transform a broken data landscape into a scalable, self-service data platform? Lees meer
In this episode of The Data Playbook, Kris Peeters sits down with Tom Holsteens to unpack how Brussels Airlines rebuilt their data foundation from the ground up.
Coming out of the pandemic, the organisation faced a classic problem:
👉 A “spaghetti” data warehouse
👉 No ownership of data assets
👉 A central team becoming the bottleneck
What followed was a multi-year transformation focused on:
Building a modern cloud data platform
Moving to a data product architecture
Enabling self-service analytics across teams
Balancing central governance with decentral ownership
Leveraging AI tools to empower non-technical users
💡 You’ll learn:
Why most data platforms fail (and how to fix them)
How to introduce data ownership in business teams
The real difference between controlling vs. BI
How to reduce bottlenecks with hub-and-spoke models
A real use case: cutting food waste by 30% with data
Why perfect data quality is a myth
This is a must-watch for data leaders, engineers, and anyone scaling data in complex organisations.
👉 Subscribe for more episodes:
https://www.youtube.com/@Dataminded
👉 Listen on Spotify:
https://open.spotify.com/show/your-podcast-link
👉 Explore more content & insights:
https://dataminded.com
Struggling with data bottlenecks, unclear ownership, or slow delivery?
👉 Explore our Data Product Workshop:
https://www.dataminded.com/what-we-do/data-product-workshop
Turn your data landscape into a business accelerator with a shared framework, clear ownership, and hands-on guidance in just one day.
Chapters
00:00 Introduction & Brussels Airlines context
02:30 What is controlling vs. business intelligence?
06:00 The problem: “spaghetti” data warehouse & bottlenecks
12:30 The transformation: platform, operating model & group strategy
19:00 Hub-and-spoke model & self-service analytics
27:30 Data products & the “restaurant” analogy
35:30 AI, data analysts … -
Machine Learning in Energy: Forecasting, MLOps, and Business Impact - The Data Playbook Podcast with Kris Peeters & Jean-Michel Begon
16 maart 2026 · 55 min
How do you move machine learning from notebook experiments to production in a real business environment? Lees meer
In this episode of The Data Playbook Podcast, Kris Peeters sits down with Jean-Michel Begon, Senior Machine Learning Engineer at Luminus, to explore how machine learning models are built and operationalized inside an energy company.
They discuss electricity demand forecasting, the machine learning lifecycle, model experimentation, industrialisation, monitoring, collaboration with IT, and the role of GenAI and LLMs in modern ML teams.
You’ll hear practical lessons on:
production machine learning
ML team structure
forecasting model development
data pipelines and platform support
model monitoring and performance review
balancing business value with technical rigor
Explore the full podcast series: The Data Playbook PlaylistDiscover more podcasts, blogs, and webinars: Dataminded ResourcesVisit the Dataminded website: https://www.dataminded.com/
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How Dataminded Was Built: Kris Peeters on 11 Years of Data Engineering & Culture - The Data Playbook podcast with Kris Peeters & Pascal Brokmeier
29 januari 2026 · 1 uur 5 min
In this season finale of The Data Playbook Podcast by Dataminded, the tables turn: Kris Peeters (Host & Founder of Dataminded) is interviewed by Pascal Brokmeier (guest from the Episode 2 and former colleague). Lees meer
Kris shares the real story behind 11 years of building Dataminded - from the stress of having zero customers, to landing the first project, to scaling from a small team to a company with a leadership layer. We dive deep into what makes an engineering-first culture work: autonomy + responsibility, raising (and protecting) the hiring bar, learning from mistakes, and why timeless engineering practices (Git, CI/CD, testing, monitoring) still matter, no matter the tech hype cycle.
If you’re a data leader, data engineer, engineering manager, or founder, this episode is a practical playbook on building a company (and a culture) that can survive and scale.
✅ Subscribe and follow Dataminded for more episodes, deep dives, and real-world data engineering stories. https://www.youtube.com/@Dataminded
✅ Explore The Data Playbook Podcast archive for more conversations on data platforms, data products, AI, and cloud decisions. https://www.dataminded.com/resources/podcast
✅ Want to work with us? Check our open roles or reach out directly.
Open vacancies: https://www.dataminded.com/about/join-us
Or email: careers@dataminded.com
Chapters:
00:06 - 11 Years of Dataminded: Why This Story Matters01:54 - Why Kris Founded Dataminded (Engineers First)04:12 - From Zero Clients to the First Big Win07:53 - First Hires & How Culture Was Born11:14 - Git, CI/CD & Why Engineering Discipline Wins15:59 - Growing from 6 to 20: Chaos to Structure23:30 - Autonomy, Trust & Professional Culture35:13 - COVID, Overhead & the Push to 50 People41:13 - How Dataminded Keeps the Hiring Bar High55:59 - Germany, The Netherlands & What’s Next
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How OBI Built a Lean, High-Impact AI Function That Scales - The Data Playbook Podcast with Kris Peeters & Dr. Ruth Janning
14 januari 2026 · 1 uur 14 min
In this episode of The Data Playbook, we sit down with Dr. Ruth Janning, Head of Data Science & AI at OBI, to talk about what actually drives AI impact in real organisations. Lees meer
We break down:
Why GenAI hype leads teams in the wrong direction
How to choose between ML, GenAI and agentic AI
Real-world retail AI use cases (recommendations, assortment, automation)
How a 10-person team delivers outsized business value
AI governance, self-service, templates & AI ambassadors
🎧 Listen to more episodes of The Data Playbook for real-world stories on data platforms, GenAI, data products and cloud independence from Europe’s leading data practitioners and leaders.
🌐 More at https://www.dataminded.com/resources and subscribe to our Spotify channel.
Watch the full episode on YouTube: https://youtu.be/hzI9VizGyHM
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S2 E9. Data Science vs Data Engineering: Breaking the Wall - The Data Playbook Podcast with Kris Peeters & Jelena Grujic
18 december 2025 · 1 uur
In this episode of The Data Playbook, Jelena Grujic (Dataminded) explains why the divide between data scientists and data engineers still exists and how to finally break it. Lees meer
We dive into real-world conflicts around unit tests, notebooks, production data access, documentation, and overengineered solutions. Jelena shares pragmatic alternatives like data testing, functional pipelines, and purpose-based access that actually work in production.
A must-listen for data leaders and practitioners who want fewer debates and better data products.
🎧 Topics include data testing, notebooks, production data, functional programming, and team collaboration.
🎧 Listen to more episodes of The Data Playbook for real-world stories on data platforms, GenAI, data products and cloud independence from Europe’s leading data practitioners and leaders.
🌐 More at https://www.dataminded.com/resources
#DataScience #DataEngineering #DataLeadership #DataTeams #DataPlatform #AnalyticsEngineering #DataInProduction #MachineLearning #ModernDataStack #TheDataPlaybook
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S2 E8. A Structured Framework for Building Successful Data Solutions - The Data Playbook Podcast with Kris Peeters & Frederic Vanderveken
11 december 2025 · 47 min
Most data leaders know the statistic: the majority of big data initiatives never deliver the value they promised. In this episode, Kris sits down with Frederic Vanderveken from Dataminded to unpack a practical framework to choose and validate the right data use cases. Lees meer
We cover:
Why so many data initiatives fail before they even start
How to anchor your work in business strategy, not technology
How to run problem discovery interviews that surface real headaches, not minor annoyances
Prioritising solutions using five lenses: customer, growth, money, pragmatic feasibility and differentiators
Building a quantifiable business case and defining success upfront
If you’re a data leader or product owner deciding where to place your next big bet, this episode gives you a structured way to reduce risk and ship data solutions that actually move the needle.
Follow The Data Playbook for more episodes on data platforms, data products and making AI useful in real life.
🌐 More at www.dataminded.com and subscribe to our channel.
⏱️ Chapters:
00:00 Introduction to Data Solutions Framework09:03 Effective Problem Discovery Techniques17:53 Mapping Customer Journeys26:39 Collaborative Solution Brainstorming32:27 Testing Solutions and Integration44:39 Final Thoughts and Key Takeaways
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S2 E7. Data Engineering Meets Excel: Building Explainable and Reliable Decision Models with River Solutions
27 november 2025 · 32 min
Kris Peeters sits down with Amaury Anciaux, founder of River Solutions, to tackle a painful reality for data leaders: critical decisions still depend on fragile Excel models. Lees meer
They explore why Excel won’t disappear, how River turns spreadsheets into visual, explainable and reliable decision models, and what happens when you bring data quality checks, testing and documentation into the analyst workflow.
Topics include:
Why 99% of models in organisations are still built in Excel
Silent errors, risk, and the real cost of debugging formulas
Visual flow-based modelling and model maps inside Excel
Built-in checks for missing data, duplicates and broken lookups
How AI copilots helped build River, and why AI won’t replace transparent models
The evolving role of analysts and managers in data-driven decisions
🎧 Listen to more episodes of The Data Playbook for real-world stories on data platforms, GenAI, data products and cloud independence from Europe’s leading data practitioners and leaders.
🌐 More at https://www.dataminded.com/resources
Chapters:
00:00 – Intro & episode setup00:45 – Amaury’s background & consulting career02:00 – The hidden reality of Excel decision models04:00 – Why “just get it out of Excel” doesn’t scale05:10 – What River Solutions does in Excel06:40 – Visual model maps for explainable models08:40 – Removing formulas & adding data quality checks10:50 – Why Excel errors are so risky for big decisions13:15 – Who River is for: analysts, Excel gurus & managers16:05 – Why Amaury started River now & building with Copilot19:00 – Will AI copilots replace River and Excel modelling?22:51 – How River works as an Excel add-in (UX & interactivity)26:25 – How River changes the analyst role (less debugging, more thinking)28:10 – Roadmap: community, cloud, AI & connecting to data warehouses31:14 – Biggest lesson learned: software is easy, change is hard
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S2 E6. 5 Years Kate 🎂: Inside KBC’s AI Playbook - The Data Playbook Podcast with Kris Peeters & Dr. Barak Chizi
20 november 2025 · 58 min
What happens when a bank decides that AI and IP are so strategic they must be built in-house - then actually follows through for more than a decade? Lees meer
In this episode of The Data Playbook, Dr. Barak Chizi, Chief Data & Analytics Officer at KBC Group, joins Kris Peeters to reveal how KBC built one of Europe’s most mature AI organisations and what it took to bring Kate, their AI assistant, to life, and keep her evolving for 5 years.
You’ll hear how KBC:
Grew from early machine learning to 2,000+ AI use cases in production
Developed an AI-driven anti-money laundering platform and commercialised it for other banks
Scaled Kate, now celebrating 5 years and upgraded with GPT.
Uses the U-model to govern AI safely from idea to production
Keeps ROI at the centre of every AI project
Stays vendor-independent while still leveraging hyperscaler LLMs
Builds diverse, high-calibre AI teams with a rigorous recruitment approach
Explores soft logic and modelling customer intent as the next frontier of financial AI
If you want to understand how to turn AI from experiments into a true competitive advantage, this conversation is your playbook.
🌐 More at www.dataminded.com and subscribe to our channel.
Show notes:
The Foundation of Soft Logic👉 https://link.springer.com/book/10.1007/978-3-031-58233-2
Dan Ariely – Predictably Irrational👉 https://www.amazon.com/Predictably-Irrational-Revised-Expanded-Decisions/dp/0061353248/
⏱️ Chapters
00:00 – Intro to The Data Playbook & today’s guest01:15 – Barak’s backstory: 25 years in AI & high-dimensional data03:02 – What a CDAO does at KBC & enabling 24/7 AI-assisted service04:55 – Towards continuous, machine-supported customer journeys06:37 – The U-Model: KBC’s framework for data & AI projects08:35 – Flagship AI products, finite project lifecycle & retraining10:07 – Prioritising AI use cases across 5 countries12:31 – ROI mindset, conservative risk culture & data as an asset14:21 – Why KBC keeps AI in-house & limits external consultant…
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S2 E5. Beyond Hyperscalers: How to Run Modern Data Platforms on European Clouds - The Data Playbook Podcast with Kris Peeters & Niels Claeys
13 november 2025 · 56 min
EU clouds without the hype. Niels Claeys (Partner & Lead Data Engineer at Dataminded, and our technical hiring lead) breaks down data sovereignty vs. Cloud Act, GDPR realities, and a portable, Kubernetes-first stack with Iceberg, Trino, and Airflow. We compare Scaleway, OVH, Exoscale, UpCloud, look at cost drivers, encryption/KMS, egress policies, and how to avoid vendor lock-in plus when best-of-breed beats all-in-one and why “keep it simple” still wins. Lees meer
What you’ll learn:
When EU clouds make more sense than hyperscalers (and when they don’t)
Designing a portable platform: Terraform/Tofu for infra, Argo CD for apps
Table formats 101: why Apache Iceberg over plain Parquet/CSV
Query layer choices: Trino for open SQL across object storage & DBs
Orchestration in practice: Airflow patterns, dependencies, SLAs
Security & governance: OPA for fine-grained policies, IAM, catalogs
Cost & ops: egress, managed services gaps, version lag, troubleshooting
Team skills: what to hire for, and the “hard questions” Niels asks in interviews
🌐 More at www.dataminded.com — and subscribe!
Chapters
00:00 Intro & why EU clouds now
04:40 Compliance & legal: GDPR, Cloud Act, sovereignty
11:55 Platform blueprint: Kubernetes + Iceberg + Trino + Airflow
20:30 Catalogs, OPA, IAM & access control
27:10 EU providers deep dive: Scaleway, OVH, Exoscale, UpCloud
36:20 Cost, encryption/KMS, egress & performance
43:10 Best-of-breed vs all-in-one (and glue work)
51:00 Getting started: IaC, Argo CD, day-2 ops
56:40 Hiring: interview signals & practical takeaways
Keywords
EU cloud, European cloud providers, data sovereignty, GDPR, Cloud Act, Kubernetes data platform, Apache Iceberg, Trino, Airflow, vendor lock-in, OPA, Argo CD, Terraform, Exoscale, Scaleway, OVH, UpCloud
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S2 E4. Build vs Buy in the GenAI Era: Inside Belfius’ Data & AI Strategy - The Data Playbook Podcast with Kris Peeters & Hannes Heylen
5 november 2025 · 57 min
Belfius Insurance’s Head of Data & AI, Hannes Heylen shares how his team scaled GenAI - from a fraud detection flywheel to “Nestor,” a claims copilot that speeds summaries, completeness and coverage checks. We unpack AI agents in the claims flow, build-vs-buy decisions, and why content/data governance drives LLM quality. Plus: a pragmatic delivery mantra - make it work, then right, then cheap - for CIOs, CDOs and Heads of Data. Lees meer
What you’ll learn
How to pick first AI cases that prove €ROI (fraud models)
Designing a claims copilot: summarization, completeness & coverage checks
Where AI agents fit (GenAI + ML + humans) across the claims flow
Build vs. buy in 2025: foundation models, vendor flexibility, cost control
Content/data governance as the make-or-break for LLM apps
“First make it work, then right, then cheap”: an AI operating model for CIO/CDO
Guest: Hannes Heylen, Head of Data & AI, Belfius Insurance
🌐 More at www.dataminded.com
Chapters:
00:00 Why AI now in financial services
06:30 GenAI’s impact on text-heavy insurance processes
18:40 AI agents across claims
31:00 Governance > model tweaks
38:00 Fraud detection: the € case
41:30 Claims copilot (“Nestor”) & lab-to-prod
55:00 Lessons for CIOs/CDOs
Topics: ROI-first use cases • Claims automation • AI agents (GenAI + ML + human-in-the-loop) • Governance • Vendor flexibility & costs
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S2 E3. How imec scales research with data platforms: governance, workbenches, and adoption - The Data Playbook Podcast with Kris Peeters & Wim Vancuyck
31 oktober 2025 · 55 min
In this episode of The Data Playbook, we go inside imec, one of the world’s leading semiconductor research institutes, to explore how they scale data governance, self-service, and innovation in one of the most data-intensive environments on Earth. Lees meer
Our guest, Wim Vancuyck, Manager of ICT for Data & Research Enablement, leads imec’s data strategy - bridging IT, researchers, and business to accelerate R&D through digital solutions. Wim’s mission: make imec a data-driven research organisation that turns raw measurements into insights and intellectual property faster and more securely.
Wim explains how imec built a research data platform that empowers thousands of scientists through:
Purpose-based access control, linking people, platforms, and data assets
Four self-service workbenches for Power BI, Data Engineering, Data Science & AI, and Application Development
A clear platform vision built on efficiency, scalability, and reliability
A governance model that supports both compliance and creativity
A pragmatic stance on shadow IT: embrace, standardise, and professionalize it
A bottom-up adoption strategy driven by early adopters and community engagement
He also discusses his evolution from technical architect to data leader, and what it takes to manage change in a 5,000-person R&D organisation, balancing technical depth with people leadership.
🎙️ Guest: Wim Vancuyck - Manager ICT, Data & Research Enablement, imec
🌐 More at: www.dataminded.com
#DataPlaybook #imec #SemiconductorR&D #DataGovernance #PurposeBasedAccessControl #DataMesh #PlatformEngineering #SelfServiceAnalytics #CIO #CDO #DataLeadership #ResearchDataPlatform #DataStrategy
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S2 Ep2. Federated Data Governance in Banking: How ABN AMRO Scaled from 300 Data Owners to 15 Data Domains - The Data Playbook Podcast
24 oktober 2025 · 54 min
How do you turn governance from a bottleneck into a business accelerator - in a bank? Lees meer
In this episode of The Data Playbook, host Kris Peeters talks with Jan Mark Pleijsant, Senior Data Strategy & Governance Advisor at ABN AMRO Bank, about their move from 300+ dispersed data owners to 15 clear, business-aligned data domains and what it took to make federated governance work in a highly regulated environment.
You’ll learn:
Why “governance police” fails and how a federated model balances autonomy with oversight.
How ABN AMRO defined domains by the nature of data (customer, loans, payments) rather than shifting business units driving stability across reorganisations.
What “governance by design” looks like in practice (policies, standards, data lineage, quality, clear ownership).
The evolution from golden (source-aligned) datasets to consumer-ready data products (“pre-packaged salads”) that speed time-to-insight.
Why executive sponsorship, domain maturity, and delivery discipline are the real success factors.
How to measure domain maturity, prioritize critical reports (e.g., regulatory & exec dashboards), and avoid endless debates over definitions by making differences explicit.
Who should listen: CIOs, CDOs, Heads of Data, and Data Leaders building scalable, compliant data platforms in complex organizations - especially in financial services.
Chapters:
00:00 Intro & context (POA Summit)
03:12 Why banks need strong data governance
07:45 Federation vs. centralization (and pitfalls)
13:10 From 300 owners to 15 domains
19:40 Designing domains that don’t break with reorgs
26:05 Data products vs. datasets—what changed
33:20 Governance by design: policy → product
40:05 Measuring maturity & building momentum
47:30 Risks, success factors, and the next 24 months
Want to get started with Data Products? Check here https://www.dataminded.com/what-we-do/data-product-offering
#DataGovernance #FederatedGovernance #DataDomains #DataProducts #DataLeadership #Banking…
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S2 Ep1. Live from the POA Summit: Simon Harrer on Data Contracts, AI, and the Next Phase of Data Mesh - The Data Playbook Podcast
9 oktober 2025 · 59 min
What does it take to scale data products across an organization? In this episode of The Data Playbook, we sit down with Simon Harrer, CEO and Co-Founder of Entropy Data, recorded live at the POA Summit 2025 in Stuttgart. Lees meer
Simon unpacks his journey from developer to founder, the creation of Data Mesh Manager, and why data contracts are becoming the backbone of modern data governance. We dive deep into:
The evolution from consulting to product-based data companies
How data products and contracts drive interoperability
Why AI and MCPs will redefine how data is shared and governed
The future of Data Mesh and the rise of data marketplaces
A conversation packed with real-world lessons for Data Leaders, CIOs, and CDOs driving digital transformation.
Want to get started with Data Products? Check here https://www.dataminded.com/what-we-do/data-product-offering
🔗 Resources from the episode:
Entropy Data
Data Mesh Manager
Data Contract CLI
Data Product MCP
Entropy Spin-off Story
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Ep 12. RADAR by publiq: How AI is Reshaping Cultural Discovery, Without Compromising Privacy - The Data Playbook Podcast with Kris Peeters, Sven Houtmeyers & Elia Van Wolputte
24 juli 2025 · 58 min
In this episode of the Data Playbook podcast, we dive into how publiq, the organization behind Belgium’s largest cultural event database, is building RADAR, an AI-powered framework that enriches and structures event data at scale. Lees meer
Host Kris Peeters is joined by Sven Houtmeyers (CTO) and Elia Van Wolputte (Data Scientist) from Publiq, who share how their team uses LLMs, semantic parsing, and linked data to improve search, recommendations, and user experience, all while respecting publiq values like privacy, transparency, and digital inclusion.
Topics covered:
Why unstructured data is a challenge for cultural event discovery
How RADAR leverages LLMs for smarter enrichment and entity resolution
From batch jobs to live services: Scaling across GCP and AWS
Designing ethical AI in the public sector: avoiding filter bubbles and over-personalization
This is a behind-the-scenes look at how public organizations can use modern AI tools, not to manipulate users, but to empower them.
🌐 More at www.dataminded.com
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Ep 11. The Art of the Data Platform: Reducing Cognitive Load and Driving Adoption - The Data Playbook Podcast with Kris Peeters & Jelle De Vleminck
17 juli 2025 · 57 min
🎙️ In this episode, host Kris Peeters talks with Jelle De Vleminck, consultant at Dataminded, about what it really takes to build a data platform that people actually want to use. Lees meer
Together, they explore:
What separates a platform from just “a bunch of tools”
How to reduce cognitive load for developers
The 5 biggest mistakes in platform design
Why adoption matters more than features
How data contracts, products, and cloud IDEs improve usability
Why enabling your users beats controlling them
If you’re building internal tooling or scaling data across teams, this episode is packed with practical insight.
Want to get started with Data Products? Check here https://www.dataminded.com/what-we-do/data-product-offering
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Ep 10. AI Innovation That Delivers: How to Align Strategy, Adoption, and Business Value - The Data Playbook Podcast with Kris Peeters & Joris Renkens
10 juli 2025 · 58 min
In this episode of The Data Playbook, we explore what it really takes to turn AI into meaningful business impact. Lees meer
Host Kris Peeters talks with Joris Renkens, founder of AI product studio Guatavita, about how organizations can build AI solutions that truly work in practice.
They discuss:
Why innovation starts with the right problem, not the latest tech
How to validate adoption early, before writing complex models
What makes a high-performing AI product team
How to manage technical debt while moving fast
Why flexible strategy matters more than fixed roadmaps
🎙 Listen & subscribe on Spotify
🌐 More at www.dataminded.com
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Ep 9. You Don’t Need the Latest Stack. You Need Better Questions - The Data Playbook Podcast with Kris Peeters & Rushil Daya
3 juli 2025 · 53 min
In this episode of The Data Playbook, we explore what it really takes to build high-performance data teams. Lees meer
Host Kris Peeters is joined by Rushil Daya, Senior Data Engineer at Dataminded, who shares practical lessons from years of leading successful data teams across industries.
They discuss:
The link between data success and business value
How mentoring beats documentation when upskilling teams
Why testing and CI/CD matter more than flashy tools
What makes stakeholder communication essential
Why Agile is nothing without real feedback loops
🎙 Watch on YouTube: https://youtu.be/JEPPVakHfhA
🌐 More at www.dataminded.com
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Ep 8. What It Really Takes to Build a Data-Centric Organization - The Data Playbook Podcast: Kris Peeters & Jonny Daenen
26 juni 2025 · 54 min
In this episode of the Data Playbook podcast, we explore what it really takes to build sustainable, data-centric organizations, moving beyond tooling and dashboards toward lasting value. Lees meer
Host Kris Peeters is joined by Jonny Daenen (Knowledge Lead at Dataminded), who shares insights from years of helping organizations evolve their data strategy across sectors. Together, they discuss why data platforms, domain-owned data products, and people-first operating models are the foundations of modern data success.
🔍 Topics covered:
Why dashboards aren’t enough for true data maturity
From central chaos to federated teams and self-service
The role of governance in enabling delivery
How AI and LLMs reshape data tooling, ownership & value
What “data-centric” really means , and why most fail to get there
🎙 Hosted by Kris Peeters
👥 With Jonny Daenen, Dataminded
🌐 Visit our website for more.
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Ep 7. A Deep Dive into SQLMesh: Structured Query Validation and Safe Pipeline Testing - The Data Playbook Podcast: Kris Peeters & Michiel De Muynck
19 juni 2025 · 1 uur 4 min
In this episode of The Data Playbook, we take a technical look at SQLMesh, a data transformation framework designed to improve the workflow and reliability of SQL-based data pipelines. Hosted by Kris Peeters, the episode features Michiel De Muynck, Senior Data Engineer at Dataminded, who provides a deep dive into SQLMesh’s internal mechanics, including its use of semantic analysis and isolated runtime environments. Lees meer
Michiel outlines how SQLMesh differentiates itself from tools like dbt by incorporating a semantic parser for SQL, enabling structural validation and more precise error diagnostics during pipeline development. He also explains the implementation of virtual data environments, which allow data engineers to stage, test, and version transformations without impacting production datasets, supporting safer iteration and deployment processes.
🎧 Listen to more episodes on Spotify: Data Playbook Podcast
🌐 Visit our website for more: Website Link
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Ep 6. Data Mesh Live: How to make it successful in organisations, with Jacek Majchrzak & Andrew Jones
12 juni 2025 · 56 min
In this special episode of "The Data Playbook" podcast, recorded live at the Data Mesh Live Event in Antwerp, Kris Peeters speaks with Data Mesh pioneers Jacek Majchrzak and Andrew Jones. They explore how Data Mesh addresses critical challenges in data management, including data bottlenecks, governance, and decentralization. With years of experience in the field, both Jacek and Andrew share practical lessons from their journeys and offer actionable insights into implementing Data Mesh effectively. Lees meer
The conversation covers:
Solving data bottlenecks through decentralized architectures
Improving governance with federated models
Aligning data strategy with business goals for impactful results
Understanding the importance of incremental implementation
Moving beyond "data silos" towards a more flexible, scalable approach
Jacek and Andrew provide real-world examples of how Data Mesh can transform your data infrastructure, sharing lessons on what works, what doesn’t, and how to manage a successful Data Mesh implementation. If you're looking to overcome common data management challenges like governance and scalability, this episode is packed with practical advice.
Books Referenced by Our Speakers:
📚 Data Mesh in Action by Jacek Majchrzak - https://a.co/d/4i5HUcY
📚 Driving Data Quality with Data Contracts by Andrew Jones - https://amzn.eu/d/aMQRFH1
Stay tuned for more episodes on Data Mesh and other important topics in data architecture by following "The Data Playbook" on Spotify.
🎧 Watch the full episode on Youtube
🌐 Learn more on our website
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Ep 5. Data Modeling: Why should I care? Unveiling the Sense and Nonsense with Jonas De Keuster
6 juni 2025 · 1 uur 3 min
Join us in this episode of The Data Playbook as we explore the sense and nonsense of data modeling with Jonas De Keuster, VP of Product at VaultSpeed. Jonas takes us through his journey in the world of data automation, discussing the role of data integration, data vaulting, and how modern data products are built using structured models. From dimensional modeling to the complexities of integrating data across multiple systems, Jonas shares practical insights into how organizations can scale their data operations. Lees meer
Topics covered include:
Data Modeling Techniques: Data Vault vs. Dimensional Modeling
Data Automation and Integration
Building Data Products with Scalable Models
How to Manage Data Changes and Evolving Business Needs
Real-world Challenges in Data Platforms
Whether you're leading a data team or just beginning your journey, this episode is a must-listen for anyone interested in the future of data architecture. Tune in for expert advice on building integrated data solutions that deliver real business value.
Want to get started with Data Products? Check here https://www.dataminded.com/what-we-do/data-product-offering
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Ep 4. From On-Prem to Cloud (Again): How a Government Agency Made the Big Bang Work
28 mei 2025 · 46 min
What do you do when GDPR forces your cloud project to stop—and years later, you need to go back? In this episode, Niels Melotte, Data Engineer at Dataminded, unpacks the journey of a government agency that migrated from the cloud to on-prem and then back to the cloud again. Lees meer
And here’s the kicker: the Big Bang migration only took 14 hours. No downtime. No data loss. No angry users.
🔍 In this episode, we discuss:
Schrems II and why it sent European governments off the cloud
AWS Nitro Enclaves & external key management for GDPR compliance
Why the on-prem platform failed to meet uptime guarantees
What “purpose-based access control” means and why it matters
The value of standardizing with dbt and Starburst
How data product thinking shaped the migration strategy
Lessons learned about trust, stakeholder communication, and platform maturity
This isn’t a fluffy case study. It’s a practical guide full of engineering tradeoffs, real-world headaches, and long-term lessons. A must-listen for data leaders, engineers, architects, and anyone dealing with sensitive data and complex infrastructure decisions.
🎧 Want more episodes?Watch or Listen to all episodes of The Data Playbook on Spotify: 👉 https://open.spotify.com/show/78z3kdyBSKiURz1VnTVP9l?si=781abec722264306
Show notes, episodes & resources:👉 https://www.dataminded.com/resources/podcast
#CloudMigration #PublicSector #GDPR #DataGovernance #AWS #DataPlatform #dbt #Starburst #BigBangMigration #TheDataPlaybook #Dataminded
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Ep 3. Building Sustainable Data Products that actually get used - The Data Playbook Podcast: Kris Peeters & Geert Verstraeten
15 mei 2025 · 59 min
In this episode of The Data Playbook, we dive deep into a critical, often-overlooked question: What does it mean to build sustainable data products? And no, we’re not just talking ESG dashboards or carbon reporting. Lees meer
🎙️ Host Kris Peeters is joined by Geert Verstraeten, a seasoned data scientist, founder of Python Predictions, and now a Co-Lead at The Data Forest—a consultancy that puts purpose and sustainability at the core of every data project.
Over a candid and rich conversation, Geert shares:
How he transitioned from startup founder to corporate leader and back to startup life—with a sustainability mission.
Why many data projects fail not because of tech, but because of missed alignment and poor adoption.
What sustainable data products really are: tools that not only minimize environmental impact, but also stand the test of time—well-documented, actually used, and aligned with real business needs.
Why selecting the right clients and projects is the first step toward impact, not just profit.
How the Data Forest scores potential engagements using a unique framework: Head, Heart, and Hands.
💡 Along the way, you’ll hear thought-provoking takes on:
The role of documentation in sustainability.
Why good data work isn’t about building everything real-time or at scale—especially when you’re not Google.
The paradox of GenAI and compute-heavy models in a world striving for tech responsibility.
Whether you're a data engineer, architect, scientist, or team lead, this episode challenges you to rethink what a "good" data project looks like.
👀 If you’ve ever built something technically brilliant that no one used, this episode is for you.
Hit play to hear:
What drives Geert and his team at The Data Forest
How to make better decisions on project scoping and client fit
Why data professionals need to talk to stakeholders much earlier—and more often
Want to get started with Data Products? Check here https://www.dataminded.com/what-we-do/data-product-offering
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Ep 2. What Not to Build with AI: Avoiding the New Technical Debt in Data-Driven Organizations - The Data Playbook podcast: Kris Peeters, Tim Schröder, Pascal Brokmeier
2 mei 2025 · 1 uur 39 min
What Not to Build with AI: Avoiding the New Technical Debt in Data-Driven Organizations Lees meer
In this episode of The Data Playbook, we explore a crucial and often overlooked question in the age of generative AI: not what to build—but what not to build.
Host Kris Peeters (CEO of Dataminded) is joined by seasoned data leaders Pascal Brokmeier (Head of Engineering at Every Cure) and Tim Schröder (AI & Data Transformation Lead in Biopharma), to talk about the dark side of unlimited AI capabilities: technical debt, fragmented systems, and innovation chaos.
Topics we dive into:
Why generative AI lowers the barrier to building—but increases long-term complexity
The risks of treating LLMs as “magical oracles” without governance
How RAG systems became the default architecture—and why that’s dangerous
The zoo vs. factory dilemma: how to balance AI experimentation with structure
Master data vs. knowledge graphs vs. embeddings – when and why each breaks down
What Klarna got right (and wrong) by replacing SaaS tools with AI-generated internal apps
The growing importance of AI literacy, data maps, and platform thinking
Real-world examples of AI agents autonomously debugging systems—and when that’s terrifying
We ask tough questions like:
Are enterprises just building themselves into a new kind of mess, faster than ever before?
Is the AI hype driving us toward “build now, regret later”?
Should you really let every department build their own AI stack?
Whether you're a data engineer, data architect, AI product lead, or a data strategist, this episode is a must-listen. We’re cutting through the hype to figure out where the real value is—and where the future tech debt is quietly piling up.
🧠 Key quote:"If you can't tell me why you're building it, maybe you shouldn't be building it at all."
💡 Tune in to learn how to stay smart, intentional, and strategic when it comes to building with AI.
#TheDataPlaybook #DataEngineering #AIinBusiness #TechnicalDebt #RAG #LLMs #DataStrate…
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Ep 1. Building Data Architecture from Scratch: Cloud, Data Mesh, and the Real-World Tradeoffs - The Data Playbook podcast by Kris Peeters & Thorsten Foltz
11 april 2025 · 1 uur 34 min
What does it really take to build a modern data architecture from the ground up? Lees meer
In our very first episode of The Data Playbook, host Kris Peeters, founder and CEO of Dataminded, sits down with Thorsten Foltz, seasoned data architect and engineer, to unpack what works (and what doesn’t) when designing scalable, future-proof data platforms.
With a focus on real-world tradeoffs, this episode explores:
Cloud vs on-prem vs hybrid: how to choose the right infrastructure
The rise of Data Mesh and when it actually makes sense
Why fake news isn’t just a media problem—it’s a data problem inside companies too
Vendor lock-in, cloud sovereignty, and the growing relevance of European alternatives
The balance between open source and managed services: cost, control, and complexity
Why team culture and communication often make or break your data strategy
What engineers can really expect from LLMs in the data stack (spoiler: they're not replacing data modeling any time soon)
Whether you're a data engineer, architect, analyst, or tech leader, this conversation goes far beyond buzzwords. You’ll hear practical lessons, hard-earned insights, and a few uncomfortable truths about how companies actually manage data today—and how they should rethink it for tomorrow.