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

Sonja Zillner; Jon Ander Gomez; Ana García Robles; Thomas Hahn; Laure Le Bars; Milan Petkovic; Edward Curry

doi:10.1007/978-3-030-68176-0_16

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

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

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Research output: Chapter in Book/Report/Conference proceeding › Chapter › Academic › peer-review

11 Citations (Scopus)

Abstract

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.

Original language	English
Title of host publication	The Elements of Big Data Value
Subtitle of host publication	Foundations of the Research and Innovation Ecosystem
Editors	Edward Curry, Andreas Metzger, Sonja Zillner, Jean-Christophe Pazzaglia, Ana García Robles
Publisher	Springer
Pages	379-399
Number of pages	21
ISBN (Electronic)	9783030681760
ISBN (Print)	9783030681753
DOIs	https://doi.org/10.1007/978-3-030-68176-0_16
Publication status	Published - 1 Aug 2021

Bibliographical note

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

Keywords

Artificial intelligence
Big data value
Data ecosystem
Data spaces
Future directions

Access to Document

10.1007/978-3-030-68176-0_16

pdfFinal published version, 1.2 MBLicence: CC BY

Cite this

Zillner, S., Gomez, J. A., García Robles, A., Hahn, T., Le Bars, L., Petkovic, M., & Curry, E. (2021). Data Economy 2.0: From Big Data Value to AI Value and a European Data Space. In E. Curry, A. Metzger, S. Zillner, J.-C. Pazzaglia, & A. G. Robles (Eds.), The Elements of Big Data Value: Foundations of the Research and Innovation Ecosystem (pp. 379-399). Springer. https://doi.org/10.1007/978-3-030-68176-0_16

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Zillner, S, Gomez, JA, García Robles, A, Hahn, T, Le Bars, L, Petkovic, M & Curry, E 2021, Data Economy 2.0: From Big Data Value to AI Value and a European Data Space. in E Curry, A Metzger, S Zillner, J-C Pazzaglia & AG Robles (eds), The Elements of Big Data Value: Foundations of the Research and Innovation Ecosystem. Springer, pp. 379-399. https://doi.org/10.1007/978-3-030-68176-0_16

Data Economy 2.0: From Big Data Value to AI Value and a European Data Space. / Zillner, Sonja (Corresponding author); Gomez, Jon Ander; García Robles, Ana et al.
The Elements of Big Data Value: Foundations of the Research and Innovation Ecosystem. ed. / Edward Curry; Andreas Metzger; Sonja Zillner; Jean-Christophe Pazzaglia; Ana García Robles. Springer, 2021. p. 379-399.

Research output: Chapter in Book/Report/Conference proceeding › Chapter › Academic › peer-review

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

Abstract

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Keywords

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