The Monetization of Technical Data: Innovations from Industry and Research
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ISBN 10: 3662665115 ISBN 13: 9783662665114
Edité par Springer, 2024
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2024. Paperback. . . . . . Books ship from the US and Ireland. N° de réf. du vendeur V9783662665114
Synopsis :
The monetization of data is a very young topic, for which there are only very few case studies. There is a lack of strategy or concept that shows decision-makers the way into the monetization of data, especially those who have discovered or are threatened by the digital transformation or Industry 4.0. Because machine data is usually unstructured and not usable without domain knowledge/metadata, the monetization of machine data has an as yet unquantifiable potential. In order to make this potential tangible, this work describes not only contributions from science, but also practical examples from industry. Based on different examples from various industries, the reader can already become part of a future data economy today. Values and benefits are described in detail.
The translation was done with the help of artificial intelligence. A subsequent human revision was done primarily in terms of content.À propos de l?auteur:
Dr. Daniel Trauth is a graduate engineer, has studied both mechanical engineering and economics and has successfully completed training as a mechatronics engineer. Daniel Trauth is a co-founder of senseering GmbH, which was awarded the official RWTH Aachen Spin-Off Award in 2019.
Prof. Thomas Bergs has been managing director of the Fraunhofer IPT since 2001. On 1 June 2018, he was appointed professor at the Chair of Manufacturing Technology of Production Processes at the WZL of RWTH Aachen University and head of the Department of Process Technology at the Fraunhofer IPT. As successor to Professor Fritz Klocke, he is also a member of the board of directors of both production technology institutes.
Prof. Wolfgang Prinz, PhD, studied computer science at the University of Bonn and received his doctorate from the University of Nottingham. Since 2001 he has been professor at RWTH Aachen University and, as deputydirector of the Fraunhofer FIT, heads the Department of Cooperative Systems. For some years now, Mr. Prinz has been dealing with the technical basics of blockchain and the development and analysis of blockchain-based applications within the framework of the Blockchain Lab of Fraunhofer FIT.
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Titre : The Monetization of Technical Data: ...
Éditeur : Springer
Date d'édition : 2024
Reliure : Couverture souple
Etat : New
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The Monetization of Technical Data
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ISBN 10 : 3662665115
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Etat : New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Describes what is the world s first realized demonstrator for machine data trading under industrial conditionsIn addition to articles from science, it also deals with practical examples from industryWritten by internationally leading author. N° de réf. du vendeur 1289955608
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Monetarisierung Von Technischen Daten : Innovations from Industry and Research
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The Monetization of Technical Data : Innovations from Industry and Research
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Springer Berlin Heidelberg, Springer Berlin Heidelberg, 2024
ISBN 10 : 3662665115
ISBN 13 : 9783662665114
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Taschenbuch. Etat : Neu. Druck auf Anfrage Neuware - Printed after ordering - The monetization of data is a very young topic, for which there are only very few case studies. There is a lack of strategy or concept that shows decision-makers the way into the monetization of data, especially those who have discovered or are threatened by the digital transformation or Industry 4.0. Because machine data is usually unstructured and not usable without domain knowledge/metadata, the monetization of machine data has an as yet unquantifiable potential. In order to make this potential tangible, this work describes not only contributions from science, but also practical examples from industry. Based on different examples from various industries, the reader can already become part of a future data economy today. Values and benefits are described in detail. The translation was done with the help of artificial intelligence. A subsequent human revision was done primarily in terms of content. N° de réf. du vendeur 9783662665114
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The Monetization of Technical Data
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Springer Berlin Heidelberg, Springer Berlin Heidelberg Jan 2024, 2024
ISBN 10 : 3662665115
ISBN 13 : 9783662665114
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Taschenbuch. Etat : Neu. Neuware -The monetization of data is a very young topic, for which there are only very few case studies. There is a lack of strategy or concept that shows decision-makers the way into the monetization of data, especially those who have discovered or are threatened by the digital transformation or Industry 4.0. Because machine data is usually unstructured and not usable without domain knowledge/metadata, the monetization of machine data has an as yet unquantifiable potential. In order to make this potential tangible, this work describes not only contributions from science, but also practical examples from industry. Based on different examples from various industries, the reader can already become part of a future data economy today. Values and benefits are described in detail.The translation was done with the help of artificial intelligence. A subsequent human revision was done primarily in terms of content.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 684 pp. Englisch. N° de réf. du vendeur 9783662665114
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The Monetization of Technical Data
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Springer Berlin Heidelberg, Springer Berlin Heidelberg Jan 2024, 2024
ISBN 10 : 3662665115
ISBN 13 : 9783662665114
Neuf
Taschenbuch
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Taschenbuch. Etat : Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -The monetization of data is a very young topic, for which there are only very few case studies. There is a lack of strategy or concept that shows decision-makers the way into the monetization of data, especially those who have discovered or are threatened by the digital transformation or Industry 4.0. Because machine data is usually unstructured and not usable without domain knowledge/metadata, the monetization of machine data has an as yet unquantifiable potential. In order to make this potential tangible, this work describes not only contributions from science, but also practical examples from industry. Based on different examples from various industries, the reader can already become part of a future data economy today. Values and benefits are described in detail. The translation was done with the help of artificial intelligence. A subsequent human revision was done primarily in terms of content. 684 pp. Englisch. N° de réf. du vendeur 9783662665114
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Monetarisierung Von Technischen Daten : Innovations from Industry and Research
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Springer, 2024
ISBN 10 : 3662665115
ISBN 13 : 9783662665114
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Monetarisierung Von Technischen Daten : Innovations from Industry and Research
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Springer, 2024
ISBN 10 : 3662665115
ISBN 13 : 9783662665114
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The Monetization of Technical Data (Paperback)
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Springer-Verlag Berlin and Heidelberg GmbH & Co. KG, Berlin, 2024
ISBN 10 : 3662665115
ISBN 13 : 9783662665114
Neuf
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Paperback. Etat : new. Paperback. The monetization of data is a very young topic, for which there are only very few case studies. There is a lack of strategy or concept that shows decision-makers the way into the monetization of data, especially those who have discovered or are threatened by the digital transformation or Industry 4.0. Because machine data is usually unstructured and not usable without domain knowledge/metadata, the monetization of machine data has an as yet unquantifiable potential. In order to make this potential tangible, this work describes not only contributions from science, but also practical examples from industry. Based on different examples from various industries, the reader can already become part of a future data economy today. Values and benefits are described in detail. The translation was done with the help of artificial intelligence. A subsequent human revision was done primarily in terms of content. The monetization of data is a very young topic, for which there are only very few case studies. Because machine data is usually unstructured and not usable without domain knowledge/metadata, the monetization of machine data has an as yet unquantifiable potential. Shipping may be from multiple locations in the US or from the UK, depending on stock availability. N° de réf. du vendeur 9783662665114
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