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September 15 & 16 2027

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September 15 & 16 2027 | Jaarbeurs Utrecht Keep me informed For visitors

For visitors

About this edition

About Data Expo

Exhibitor list

Program

Speakers

Exhibition magazine 2026

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

More about Data Expo 2027

Keep me informed when registration for Data Expo 2027 opens

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)

Tom Klaver

Lead Data Analytics

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Tom (31 jaar): vader, balsportliefhebber en vooral AI-enthousiasteling. Nadat de studiebanken bij Luchtverkeersleiding Nederland, Logistiek en uiteindelijk Business Analytics & Data Science mij naar Pon hebben geleid, heb ik daar verschillende functies gehad. Van uitvoerend data scientist tot project lead, waarna ik sinds een jaar verantwoordelijk ben voor de analyticsafdeling van het Datalab. Analytics bij het Datalab beslaat het hele stuk van datamodellering tot visualisering en (agentic) analytics.
Tom Klaver, Kasper Meijjer

Flexibele en schaalbare AI-impact binnen de diversiteit van Pon

Deze presentatie belicht de transformatie van Pon naar een datagedreven organisatie. Om optimaal te profiteren van AI, focust Pon Datalab eerst op het bouwen van een schaalbaar fundament binnen een complex bedrijfslandschap. Daarnaast legt de sessie uit hoe het Datalab de 80/20-regel toepast: door structureel 20% van de tijd te investeren in non-declarabele innovatie en experimenten, heeft de organisatie haar huidige voorsprong weten te bereiken.
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Donderdag 13.45 - 14.15 • Lezingenzaal 8

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