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. 4 天前

    S2 E7. Data Engineering Meets Excel: Building Explainable and Reliable Decision Models with River Solutions

    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. 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 ExcelSilent errors, risk, and the real cost of debugging formulasVisual flow-based modelling and model maps inside ExcelBuilt-in checks for missing data, duplicates and broken lookupsHow AI copilots helped build River, and why AI won’t replace transparent modelsThe 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

    32 分鐘

  2. 11月20日

    S2 E6. 5 Years Kate 🎂: Inside KBC’s AI Playbook - The Data Playbook Podcast with Kris Peeters & Dr. Barak Chizi

    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? 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 consultants18:17 – Beyond data warehouses: from reporting to prediction22:21 – AI-driven AML platform & the creation of SKY25:30 – Patents, AI IP and KBC’s competitive positioning27:25 – Generative AI at KBC since 2018 & early transformer experiments29:11 – Pragmatic tech choices: LLMs vs ML vs simple automation31:42 – Avoiding GenAI hype and focusing on customer value33:03 – Why KBC built Kate: 24/7 banking & impatient customers35:28 – From FAQ bot to execution engine: Kate’s end-to-end capabilities37:07 – Customer reactions, branches vs digital & Kate’s 2026 roadmap39:24 – Multi-LLM strategy, vendor independence & design partnerships40:44 – Inside Kate’s architecture: NLU, open source & KBC-built layers42:37 – Proactive AI: timing, context and personalised offers44:51 – Soft logic, consciousness & modelling customer intent49:19 – Building a diverse, 24-nationality AI team at KBC51:37 – Recruitment process, tests & how candidates are evaluated55:21 – What KBC looks for in modern data scientists57:15 – Lessons after 10 years at KBC & book recommendation

    58 分鐘

  3. 11月13日

    S2 E5. Beyond Hyperscalers: How to Run Modern Data Platforms on European Clouds - The Data Playbook Podcast with Kris Peeters & Niels Claeys

    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. 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 appsTable formats 101: why Apache Iceberg over plain Parquet/CSVQuery layer choices: Trino for open SQL across object storage & DBsOrchestration in practice: Airflow patterns, dependencies, SLAsSecurity & governance: OPA for fine-grained policies, IAM, catalogsCost & ops: egress, managed services gaps, version lag, troubleshootingTeam 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

    56 分鐘

  4. 11月5日

    S2 E4. Build vs Buy in the GenAI Era: Inside Belfius’ Data & AI Strategy - The Data Playbook Podcast with Kris Peeters & Hannes Heylen

    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. What you’ll learn How to pick first AI cases that prove €ROI (fraud models)Designing a claims copilot: summarization, completeness & coverage checksWhere AI agents fit (GenAI + ML + humans) across the claims flowBuild vs. buy in 2025: foundation models, vendor flexibility, cost controlContent/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

    57 分鐘

  5. 10月31日

    S2 E3. How imec scales research with data platforms: governance, workbenches, and adoption - The Data Playbook Podcast with Kris Peeters & Wim Vancuyck

    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. 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 assetsFour self-service workbenches for Power BI, Data Engineering, Data Science & AI, and Application DevelopmentA clear platform vision built on efficiency, scalability, and reliabilityA governance model that supports both compliance and creativityA pragmatic stance on shadow IT: embrace, standardise, and professionalize itA bottom-up adoption strategy driven by early adopters and community engagementHe 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

    55 分鐘

  6. 10月24日

    S2 Ep2. Federated Data Governance in Banking: How ABN AMRO Scaled from 300 Data Owners to 15 Data Domains - The Data Playbook Podcast

    How do you turn governance from a bottleneck into a business accelerator - in a bank? 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 🌐 More at https://www.dataminded.com/ #DataGovernance #FederatedGovernance #DataDomains #DataProducts #DataLeadership #BankingData #ABNAMRO #DataStrategy

    54 分鐘

  7. 10月9日

    S2 Ep1. Live from the POA Summit: Simon Harrer on Data Contracts, AI, and the Next Phase of Data Mesh - The Data Playbook Podcast

    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. 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. 🌐 More at www.dataminded.com 🔗 Resources from the episode: Entropy Data Data Mesh Manager Data Contract CLI Data Product MCP Entropy Spin-off Story

    59 分鐘

  8. 7月24日

    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

    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. 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 discoveryHow RADAR leverages LLMs for smarter enrichment and entity resolutionFrom batch jobs to live services: Scaling across GCP and AWSDesigning ethical AI in the public sector: avoiding filter bubbles and over-personalizationThis 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

    58 分鐘
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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
  • 集數
    19
  • 年齡分級
    兒少適宜
  • 版權
    © Dataminded
  • 節目網站
    The Data Playbook Podcast

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