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6 Must-haves bij data governance

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

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September 10 & 11 2025 | Jaarbeurs Utrecht Free ticket For visitors

For visitors

About this edition

About Data Expo

Program

Speakers

Exhibitor list

Exhibition magazine

Premium tickets

About previous editions

Recap

Exhibition magazine

Practical information

Floor plan

Venue & Opening hours

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

Book a stand

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’

Contact

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

Paul Groth

Professor of Data Science

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Paul Groth is Professor of Data Science at the University of Amsterdam, where he leads the Intelligent Data Engineering Lab (indelab.org) and serves as Scientific Director of the university's Data Science Center. His research centers on building AI systems for dealing with large-scale, diverse, and contextualized data.

Paul co-directs two Innovation Center for Artificial Intelligence (ICAI) labs: the AI for Retail Lab (partnering with Ahold Delhaize) and the Discovery Lab (collaborating with Elsevier). He has led major data integration and knowledge graph projects in biomedicine and was instrumental in developing the W3C Provenance standard for data lineage - crucial for AI transparency and governance. Paul co-authored the FAIR data principles that underpin responsible AI development. As the co-founder of longform.ai and author of over 200 scientific papers, he combines deep technical expertise with a practical understanding of how organizations can harness data and AI effectively.

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Data-driven leaders discover essential insights, connections, and technology at the Data Expo.

Whether you have already developed an advanced data strategy or your organization is just beginning to take its first steps toward becoming data-driven, Data Expo provides the solutions you need to take the next step.

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