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Interview: "We are moving from data-driven to value-driven"

Joep Steenbeek | Head of Data Office | City of Amsterdam

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Jessica Ruland | Lead Product Manager | TicketSwap

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September 9 & 10 2025 | Jaarbeurs Utrecht Free ticket For visitors

For visitors

About this edition

About Data Expo

Exhibitor list

Program

Speakers

Exhibition magazine

Premium tickets

About previous editions

Recap 2025

Recap 2024

Practical information

Floor plan

2026

Venue & Opening hours

Data Expo Connect app

Collaborations

Partners

Advisory board

Knowledge partners

Claim your free ticket

Visit Data Expo and achieve your data goals

Become an exhibitor

Become an exhibitor

Participate in the exhibition

Become an exhibitor

Participation options

Become a partner

Giving a lecture

Testimonials

Practical information

Visitor profile

Contact the specialists

Request a brochure

All the information about exhibiting in one document.

Program

Program

About this edition

Program

Speakers

Giving a lecture

Testimonial speakers

Exhibitor list Blog & Knowledge

Blog & Knowledge

Discover

Blog

Video series

Featured

Women @ Data Expo

Diversity within the tech sector

Interview: "We are moving from data-driven to value-driven"

Joep Steenbeek | Head of Data Office | City of Amsterdam

Blog TicketSwap: "Right now, we are mainly focused on what we need to build"

Jessica Ruland | Lead Product Manager | TicketSwap

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Big Data Expo Vorm C (1) Big Data Expo Vorm F (1)

Dmitri Jarnikov

Senior Director of Data Science

Dr. Dmitri Jarnikov is Senior Director of Data Science at Prosus and a founding member of its central AI team. He leads teams and initiatives that take AI from idea to production across the group’s global portfolio, spanning machine learning, AI agents, robotics and new operating models. He is also a part-time Assistant Professor at Eindhoven University of Technology and holds a PhD in Computer Science. His work focuses on moving AI beyond pilots and into results that show up in the business.
Dmitri Jarnikov

AI That Ships: Field Notes

Most AI work in companies falls into three buckets. Productivity tools that speed up tasks, rebuilds of things you already do, and things that were not possible before AI. Each needs a different budget, a different timeline and a different definition of success, and companies routinely mix them up. That is how a crowded pipeline gets mistaken for transformation. I will go through what each bucket actually returns, what has to change for those returns to show up, and why most of the difficulty turns out to be organisational rather than technical. Field notes from real projects and deployments, not another transformation framework.
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Woensdag 14.00 - 14.30 • Lezingenzaal 8

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