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pro vyhledávání: '"Sonja Zillner"'
This open access book explores cutting-edge solutions and best practices for big data and data-driven AI applications for the data-driven economy. It provides the reader with a basis for understanding how technical issues can be overcome to offer rea
This open access book presents the foundations of the Big Data research and innovation ecosystem and the associated enablers that facilitate delivering value from data for business and society. It provides insights into the key elements for rese
Autor:
Edward Curry, Tuomo Tuikka, Andreas Metzger, Sonja Zillner, Natalie Bertels, Charlotte Ducuing, Davide Dalle Carbonare, Sergio Gusmeroli, Simon Scerri, Irene López de Vallejo, Ana García Robles
Publikováno v:
Curry, E, Tuikka, T, Metzger, A, Zillner, S, Bertels, N, Ducuing, C, Carbonare, D D, Gusmeroli, S, Scerri, S, Lopez de Vallejo, I & García Robles, A 2022, Data Sharing Spaces: The BDVA Perspective . in B Otto, M ten Hompel & S Wrobel (eds), Designing Data Spaces : The Ecosystem Approach to Competitive Advantage . Springer, pp. 365-382 . https://doi.org/10.1007/978-3-030-93975-5
Designing Data Spaces ISBN: 9783030939748
Designing Data Spaces ISBN: 9783030939748
Using data and Artificial Intelligence, it is possible to answer the big questions, how sustainable the planet is or what impact industry has on climate. The Big Data Value Association (BDVA) believes that Data Sharing Spaces will be a key enabler to
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::2ab58a625c7d382fb1eec65bf533e28b
https://cris.vtt.fi/en/publications/14277b2c-2c3d-4218-a672-98c7c90755c8
https://cris.vtt.fi/en/publications/14277b2c-2c3d-4218-a672-98c7c90755c8
Autor:
Jim Kenneally, Simon Scerri, Nuria De Lama, Thomas Hahn, Davide Dalle Carbonare, Södergård Caj, Ana García Robles, Edward Curry, Sonja Zillner, Laure Le Bars, Marie Claire Tonna, Dirk Mayer, Robert Seidl
Publikováno v:
Zillner, S, Le Bars, L, De Lama, N, Scerri, S, García Robles, A, Tonna, M C, Kenneally, J, Mayer, D, Hahn, T, Caj, S, Seidl, R, Carbonare, D D & Curry, E 2021, A Roadmap to Drive Adoption of Data Ecosystems . in E Curry, A Metzger, S Zillner, J-C Pazzaglia & A García Robles (eds), The Elements of Big Data Value : Foundations of the Research and Innovation Ecosystem . Springer, pp. 41-62 . https://doi.org/10.1007/978-3-030-68176-0_3
The Elements of Big Data Value ISBN: 9783030681753
The Elements of Big Data Value ISBN: 9783030681753
To support the adoption of big data value, it is essential to foster, strengthen, and support the development of big data value technologies, successful use cases and data-driven business models. At the same time, it is necessary to deal with many di
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::94491e5a96626252d85496de0331b93b
https://cris.vtt.fi/en/publications/679871c2-3d7d-437c-9489-a95f00645e5a
https://cris.vtt.fi/en/publications/679871c2-3d7d-437c-9489-a95f00645e5a
This open access book presents the foundations of the Big Data research and innovation ecosystem and the associated enablers that facilitate delivering value from data for business and society. It provides insights into the key elements for research
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1f862db50fa7578249ce07369953cb75
https://doi.org/10.1007/978-3-030-68176-0
https://doi.org/10.1007/978-3-030-68176-0
Autor:
Anna Himmelhuber, Stephan Grimm, Sonja Zillner, Mitchell Joblin, Martin Ringsquandl, Thomas Runkler
Publikováno v:
Rules and Reasoning ISBN: 9783030911669
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2ddf4e4223ca7d5ce8dd960000c8bdbc
https://doi.org/10.1007/978-3-030-91167-6_12
https://doi.org/10.1007/978-3-030-91167-6_12
Publikováno v:
ETFA
The increasing importance of resource-efficient production entails that manufacturing companies have to create a more dynamic production environment, with flexible manufacturing machines and processes. To fully utilize this potential of dynamic manuf
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::dfd9e022329b195ea34e7e106f058e86
Autor:
Walter Waterfeld, Umair ul Hassan, Robert Seidl, Arne J. Berre, Marija Despenic, Andreas Metzger, Edward Curry, Ray Walshe, Adegboyega Ojo, Dumitru Roman, Souleiman Hasan, Sören Auer, Milan Petkovic, Sonja Zillner
Publikováno v:
The Elements of Big Data Value ISBN: 9783030681753
The Elements of Big Data Value: Foundations of the Research and Innovation Ecosystem, 97-126
STARTPAGE=97;ENDPAGE=126;TITLE=The Elements of Big Data Value
The Elements of Big Data Value: Foundations of the Research and Innovation Ecosystem, 97-126
STARTPAGE=97;ENDPAGE=126;TITLE=The Elements of Big Data Value
To drive innovation and competitiveness, organisations need to foster the development and broad adoption of data technologies, value-adding use cases and sustainable business models. Enabling an effective data ecosystem requires overcoming several te
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::95c5b8772bed13e98aabfbf9d1ebff88
http://www.scopus.com/inward/record.url?scp=85143085292&partnerID=8YFLogxK
http://www.scopus.com/inward/record.url?scp=85143085292&partnerID=8YFLogxK
Autor:
Jon Ander Gómez, Milan Petkovic, Thomas Hahn, Laure Le Bars, Sonja Zillner, Edward Curry, Ana García Robles
Publikováno v:
The Elements of Big Data Value ISBN: 9783030681753
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
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::996eaca0efd9dc956ab743fc955b5596
https://doi.org/10.1007/978-3-030-68176-0_16
https://doi.org/10.1007/978-3-030-68176-0_16
Autor:
Sonja Zillner
Publikováno v:
The Elements of Big Data Value ISBN: 9783030681753
To support the process of identifying and scoping data-driven innovation, we are introducing the data-driven innovation (DDI) framework, which provides guidance in the continuous analysis of factors influencing the demand and supply sides of a data-d
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d8ea252b380141219ab58ca197376570
https://doi.org/10.1007/978-3-030-68176-0_12
https://doi.org/10.1007/978-3-030-68176-0_12