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  • 08:00

    Registration & Coffee in the Exhibition Area

  • 08:50

    Chair’s Opening Remarks

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  • 08:55

    Speed Networking – Making new connections at CDAO Benelux!

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    During this 5-minute networking session, the aim of the game is to go and meet two people you don't already know.  

  • 09:00
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    Opening Keynote: AI & Data Strategy: Vision, Value, and Verve in High-Stakes Environments

    Dr. Irina Mirkina - Chief AI Scientist - Fugro

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    AI is revolutionizing critical industries—from infrastructure to energy—where stakes are high and responsible innovation is essential. In this keynote, we’ll explore how to build a bold yet ethical AI and data strategy that delivers real business impact, especially in complex, regulated environments. Learn how to align your data foundations with AI goals, foster diverse innovation, and embed trust at the core of your roadmap. 

    Key Takeaways: 

    • 4 steps to design an integrated AI roadmap—prioritizing value, identifying key resources, and removing adoption barriers. 
    • 3 approaches to foster ethical, explainable AI development using clean and well-governed data. 
    • 2 principles to assess and maximize the real-world impact of AI using data-driven metrics. 
  • 9:30
    Panel Discussion

    Integrating Data, AI & Digital to Accelerate Business Value

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    • Converging tech, data, and transformation agendas 
    • Cross-functional KPIs: data and digital alignment in action 
    • Driving embedded intelligence across customer and operational journeys 
    • Creating data agility in highly regulated industries 
    • From strategy to execution: enabling scalable digital ecosystems 

    Deepayan Roy, Global Analytics Manager, Procurement Excellence – VATTENFALL 

    Armnado Pais do Amaral, Head of Data Science and TechnologyVANWONEN 

    Vignesh Dhinakaran, Senior Data Scientist – ADIDAS 


  • 10:00
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    Presentation: From Reactive to Proactive – Enabling Data-Driven Decisioning in Real Time

    Timea Toltszeki - Data Enablement Director - TEVA PHARMA

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    • What infrastructure is needed to support real-time insight delivery? 
    • Applying streaming analytics in logistics, finance, and operations 
    • Use cases for operational dashboards vs. strategic BI 
    • How to create fast, trusted feedback loops in business processes 
    • Architecting for performance: latency, cost, and data volume 
  • 10:30

    Mid-Morning Coffee & Networking in the Exhibition Area

  • TRACK A: Business Impact & Leadership

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  • 10:50
    Panel Discussion

    Discussion Group: AI/GenAI Use Cases in Ecommerce

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    Retail and consumer leaders will explore how they’re applying AI and GenAI to optimize customer experience, supply chains, and marketing. 

    • Creating personalized shopping experiences at scale 
    • Predicting demand and optimizing supply chains in real time 
    • Chatbots, virtual assistants, and AI-enhanced customer service 
    • Leveraging GenAI for marketing content and campaign strategy 
    • Ethical and privacy-conscious personalization in Nordic markets 

    Dmitry Olerinskiy, Digital Strategy Program Director – DECATHLON 

    Tamas Fogarasi, Director of Data & Analytics – KCC Property Holdings 

  • 11:35
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    Roundtable: Driving Business Agility with Data-Driven Decision-Making

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    This session explores how organizations are empowering business units to make informed, agile decisions by embedding data across all workflows. 

    • Aligning data with shifting business priorities in uncertain times 
    • Creating fast feedback loops between insight and action 
    • Making data accessible to decision-makers beyond the data team 
    • Enabling line-of-business leaders with guided analytics 
    • Identifying and scaling “quick-win” use cases

    Tamas Fogarasi, Director of Data & Analytics – KCC Property Holdings 

  • TRACK B: Applied AI & Technology Frontiers

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  • 10:50
    Panel Discussion

    Discussion Group: Modernizing Data Infrastructure for Scalable, Trusted Analytics

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    Join this peer-led group to discuss the critical elements of building future-ready, reliable, and flexible data infrastructure.  

    • Building the backbone for real-time, reliable, and cost-efficient data operations 
    • Architecting for low-latency, high-throughput analytics pipelines 
    • Ensuring data quality, governance, and lineage in multi-source environments 
    • Migrating from monolithic to modular, cloud-optimized data platforms 
    • Managing hybrid/multi-cloud data storage while controlling cost and compliance 
    • Leveraging streaming data where it matters: operational analytics & ML enablement 
  • 11:35
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    Roundtable: The Role of Data Mesh in Enabling Scalable, Cross-Functional Innovation

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    Explore how enterprises are transitioning to domain-driven, decentralized data architecture models while maintaining alignment and governance. 

    • Implementing domain-oriented ownership of data products 
    • Overcoming cultural barriers in adopting a federated model 
    • Aligning data mesh with legacy systems and cloud migrations 
    • Setting standards for interoperability and discoverability 
    • Lessons from pilot programs: metrics, adoption, and resistance 

     

  • 12:10

    Lunch & Networking in the Exhibition Area

  • 13:10
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    Presentation: AI in 2025: How Cost and Capability Changed Everything in One Year

    Tomas Trnka - Chief Data Officer - EAG

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    • How cost dynamics are rapidly shifting the balance between ML and AI, and why in many domains AI is starting to replace ML. 
    • Real-world use cases where EAG has accelerated adoption of applied AI in the last 12 months — what’s possible now that wasn’t before. 
    • New frontiers of automation unlocked by AI advancements, such as voice agents and other operational innovations. 
    • Benchmarks from experimenting with multiple AI providers: strengths, weaknesses, and practical lessons learned. 
    • What these changes mean for leaders planning their AI strategy in 2025 and beyond. 
  • 13:40
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    Presentation: Hard Way to Apply Digital Process Twins

    David Havas - Head of Industrial Data and Analytics - MOL GROUP

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    Ask a leading practitioner how AI is reshaping industrial operations, from uptime optimization to smart manufacturing. 

    • How are Benelux manufacturers scaling predictive maintenance? 
    • Using IoT and machine data to detect anomalies and optimize yield 
    • From proof-of-concept to embedded intelligence 
    • The role of edge AI in latency-sensitive environments 
    • GenAI and digital twins: real or hype? 
  • 14:10
    Fireside Chat

    Fireside Chat: Data Leadership in a Post-GenAI Landscape – Rethinking Roles, Skills & Value

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    A frank conversation about how GenAI is reshaping team structures, leadership responsibilities, and data strategy across industries. 

    • What’s the evolving role of the CDAO? 
    • Redefining data literacy in the age of GenAI 
    • Balancing innovation with control and governance 
    • Managing cross-functional data teams: what’s changed? 
    • How to lead through uncertainty and fast-moving change 

     

    Olivier Maugain, Data Governance & Activation Manager – IKEA 

  • 14:40

    NETWORKING IN THE EXHIBITION AREA

  • 15:10
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    Presentation: AI Transformation in Non-Digital Native Enterprises: Lessons from Manufacturing

    Utku Baris Pazar - Chief Strategy and Digital Officer - BEKO CORPORATE

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    • How established industries (like manufacturing & retail supply chain) can accelerate digital transformation. 
    • Role of AI in reimagining operations: from image recognition in production lines to AI for global product translations. 
    • The evolving role of IT and data leaders in steering this journey. 
  • 15:40
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    Presentation: Talent & Capability – Shaping the Future Data Workforce in Benelux

    Sumit Arya - Director of Data Services - AYVENS

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    • Bridging the data skill gap in a hybrid AI world 
    • Reskilling and upskilling beyond data science 
    • New leadership archetypes: from translators to data product managers 
    • Building diverse teams that think beyond the model 
    • Collaborating with universities and government 
  • 16:00
    Panel Discussion

    Panel Discussion: From Data to Value: Leading Transformation in Complex Enterprises

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    In large, complex organizations, turning data into tangible business value requires more than technology — it demands cultural change, strong governance, and a clear roadmap. This panel brings together senior leaders from diverse industries to share how they are aligning data strategy with business priorities, overcoming adoption challenges, and delivering measurable impact. 

    Discussion Points 

    • Ensuring data strategy is directly tied to business objectives from the outset 
    • Overcoming cultural barriers to data-driven transformation 
    • Measuring and communicating the business value of data initiatives to leadership and stakeholders 
    • Applying governance frameworks and processes to scale data capabilities responsibly 
    • Balancing innovation with operational stability during infrastructure modernization 
    • Lessons learned from failed or stalled data projects that shaped current approaches 

    Gaurav Singhal, Head of Data Monetization – COFRA HOLDING AG 

    Dmitry Olerinskiy, Digital Strategy Program Director – DECATHLON 

  • 16:30
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    Closing Roundtable: GenAI, Data Ownership & the New Enterprise Power Dynamic

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    Description: 
    As GenAI becomes embedded across organizations, it’s redefining how data is owned, accessed, and acted upon. This roundtable brings together data and AI leaders from across sectors to discuss how to balance innovation with accountability, ensure ethical ownership of insights, and futureproof governance structures. 

    Discussion Points: 

    • Who owns the value created by GenAI? Business, tech, or the customer? 
    • How is GenAI shifting the role of the CDO, CIO, and business leaders? 
    • Empowering product and domain teams to responsibly use LLMs 
    • The rise of internal data marketplaces — trend or transformation? 
    • How to avoid decentralisation chaos: platform strategy, trust, and standards 

     

    Participants: 
    Olivier Maugain, Data Governance & Activation Manager – IKEA 

  • 17:00

    Chair’s Closing Remarks

  • 17:10

    Networking drinks and Prize Draw

  • 18:00

    END OF THE CONFERENCE