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Data Economy 2.0: From Big Data Value to AI Value and a European Data Space

  • Sonja Zillner (Corresponderende auteur)
  • , Jon Ander Gomez
  • , Ana García Robles
  • , Thomas Hahn
  • , Laure Le Bars
  • , Milan Petkovic
  • , Edward Curry

    Onderzoeksoutput: Hoofdstuk in Boek/Rapport/CongresprocedureHoofdstukAcademicpeer review

    16 Downloads (Pure)

    Samenvatting

    Artificial intelligence (AI) has a tremendous potential to benefit European citizens, economy, environment and society and already demonstrated its potential to generate value in various applications and domains. From a data economy point of view, AI means algorithm-based and data-driven systems that enable machines with digital capabilities such as perception, reasoning, learning and even autonomous decision making to support people in real scenarios. Data ecosystems are an important driver for AI opportunities as they benefit from the significant growth of data volume and the rates at which it is generated. This chapter explores the opportunities and challenges of big data and AI in exploiting data ecosystems and creating AI value. The chapter describes the European AI framework as a foundation for deploying AI successfully and the critical need for a common European data space to power this vision.

    Originele taal-2Engels
    TitelThe Elements of Big Data Value
    SubtitelFoundations of the Research and Innovation Ecosystem
    RedacteurenEdward Curry, Andreas Metzger, Sonja Zillner, Jean-Christophe Pazzaglia, Ana García Robles
    UitgeverijSpringer
    Pagina's379-399
    Aantal pagina's21
    ISBN van elektronische versie9783030681760
    ISBN van geprinte versie9783030681753
    DOI's
    StatusGepubliceerd - 1 aug. 2021

    Bibliografische nota

    Publisher Copyright:
    © The Author(s) 2021. All rights reserved.

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