.png?width=100&height=115&name=Big%20Data%20Expo%20Vorm%20D%20(1).png)
.png?width=100&height=115&name=Big%20Data%20Expo%20Vorm%20F%20(1).png)
Paul Groth
Professor of Data Science
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.
Terug naar het overzicht
Datagedreven leiders ontdekken essentiele kennis, contacten en technologie tijdens Data Expo
Of je nu al een vergevorderde data-strategie hebt ontwikkeld of je organisatie juist de eerste stappen wil zetten richting een datagedreven onderneming; Data Expo reikt jou de oplossingen om de volgende stap te zetten.
We believe data drives digital transformation
Blog
De kracht van Retrieval-Augmented Generation (RAG) ontsluiten
Digitale Transformatie voor MKB: 8x Voordelen en Uitdagingen
Meld je aan voor de nieuwsbrief
naar boven