Overview
- Shows how the dynamics of people and moving objects in human-life systems are sensed
- Presents a trustworthy place for open innovations, called the market of data
- Introduces meta-sensing, i.e., sensing of sensing
Part of the book series: Intelligent Systems Reference Library (ISRL, volume 230)
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Table of contents (13 chapters)
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Front Matter
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Thoughts and Communication for Living Beyond Data
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Front Matter
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Insights from Cases
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Front Matter
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Back Matter
Keywords
About this book
This book states that data users often suffer from the difficulty of acquiring knowledge for decision-making, and others are unsure how existing data are useful. The reader will be released from these dilemmas and enabled to act beyond patterns in past events by creating a process to interact with the data market and the dynamic real-world rich in new events.
We present new approaches from the aspects of computation, communication, and their integration, to readers including analysts in sciences and businesses, systems managers, and learners desiring to design knowledge to learn. We show clues to explaining causalities in the target world of a black-box AI of which users may seek a predictive performance. For obtaining interpretable knowledge, we show the integration of model- and data-driven approaches, the analysis and perception of signals from data acquired in the cyber or the real word, and creative communication which connects demands to data by visualizing the datamarket as a place for innovationsEditors and Affiliations
Bibliographic Information
Book Title: Living Beyond Data
Book Subtitle: Toward Sustainable Value Creation
Editors: Yukio Ohsawa
Series Title: Intelligent Systems Reference Library
DOI: https://doi.org/10.1007/978-3-031-11593-6
Publisher: Springer Cham
eBook Packages: Intelligent Technologies and Robotics, Intelligent Technologies and Robotics (R0)
Copyright Information: Springer Nature Switzerland AG 2023
Hardcover ISBN: 978-3-031-11592-9Published: 07 November 2022
Softcover ISBN: 978-3-031-11595-0Published: 08 November 2023
eBook ISBN: 978-3-031-11593-6Published: 06 November 2022
Series ISSN: 1868-4394
Series E-ISSN: 1868-4408
Edition Number: 1
Number of Pages: XX, 281
Number of Illustrations: 24 b/w illustrations, 83 illustrations in colour
Topics: Data Engineering, Computational Intelligence, Artificial Intelligence