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6 Must-haves bij data governance

Interview: ‘Grote AI-dromen verwezenlijk je in kleine stapjes’

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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

Ontdek

Blog

Uitgelicht

6 Must-haves bij data governance

Interview: ‘Grote AI-dromen verwezenlijk je in kleine stapjes’

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

Rense van der Zee

Data Engineer

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Rense van der Zee is a data engineer with a background in both information science and business. At Winparts, he builds and shapes the data platform supporting the company's ambition to grow from market leader in the Netherlands to one of Europe's top players. His focus: designing pipelines and models that enable reporting, analytics and AI across the organisation.

Previously, he worked as a data engineer at Aegon/a.s.r., within the mortgage business — contributing to one of the largest data migrations in the Netherlands.
From data platform to AI platform: how Winparts prevents returns with data & AI

From data platform to AI platform: how Winparts prevents returns with data & AI

Winparts' belofte: het juiste onderdeel voor jouw auto. Mislukt dat, dan volgt een retour — duur voor Winparts, frustrerend voor de klant. In deze sessie laat Winparts zien hoe ze stap voor stap een dataplatform uitbouwden tot een AI-platform op open source componenten. Van datapijplijnen en datamodellen tot AI-jobs die retouren structureel verminderen. Use case voor use case.
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Donderdag 14.15 - 14.45 • Lezingenzaal 2

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