
From 12 to 14 November 2025, members of the EXTRACT consortium joined the European Big Data Value Forum (EBDVF) in Copenhagen to share updates on the project’s extreme data mining results. This event, organised by the Big Data Value Association (BDVA), represents a major annual opportunity to exchange knowledge with the European data community.
Under the theme ‘Empowering Europe’s Future with AI and Data’, the forum brought together industry professionals, business developers, researchers and policymakers from Europe and other regions of the world to advance policy actions and industrial and research activities in the areas of data and AI.
EXTRACT partnered with EBDVF 2025 to share the project’s progress and main achievements with the hundreds of visitors and participants in attendance. The project counted with a booth from which project representatives could share demos and in-depth information about the project.

As in previous editions, EXTRACT also organized a session with the DataNexus cluster, continuing to address a topic that remains largely unexplored, even within the big data and AI community: extreme data and its challenges. Eduardo Quiñones (BSC), coordinator of the EXTRACT project participated in the session along with Pedro García (NEARDATA, Rovira i Virgili University), Junaid Ahmed Khan (Graph-Massivizer, University of Bologna), and Stephan Hachinger (EXA4MIND, Leibniz Supercomputing Centre).

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The ‘DataNexus: Extreme Data Architectures Empowering AI Innovation Across the Compute Continuum’ session brought together three years of collective experience from the DataNexus cluster, which has been working on extreme data challenges. The session featured real-world case studies from EXA4MIND, EXTRACT, Graph-Massivizer and NEARDATA, showcasing the tangible impact of next-generation workflows, AI integration and high-performance data platforms across various domains, including energy, manufacturing, smart cities and crisis management.
The discussion emphasised how these innovations are strengthening Europe’s data value chain and paving the way for a resilient, interoperable data and AI ecosystem spanning the entire computing spectrum. The session concluded with a lively panel discussion inviting the audience to consider how Europe can translate its excellence in data analytics into sustainable economic and societal value.
