Overview
- Offers an understanding of cutting-edge business technologies and advances in big data analytics capabilities
- Explains the value and usage of cutting-edge business technologies in the industry and Business
- Covers the results of the 18th Scientific Annual International Conference for Business SICB
Part of the book series: Studies in Big Data (SBD, volume 136)
Included in the following conference series:
Conference proceedings info: SICB 2023.
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About this book
This book highlights applied artificial intelligence techniques, tools, and systems to drive strategic advantages, improve operational efficiency, and create added value. The focus is very much on practical applications and how to maximize the value of these technologies. They are being applied across businesses to enhance innovation, improve performance, increase profit, support critical thinking, and ultimately create customer-added value.
Whether you are a researcher, manager, or decision-maker, this book provides valuable insights to help you harness the power of AI and big data analytics in your organization. This book attempts to provide answers to the most important questions: Quo Vadis applied artificial intelligence?
Quo Vadis cutting-edge business technologies?
Keywords
Table of contents (35 papers)
Other volumes
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Cutting-Edge Business Technologies in the Big Data Era
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Cutting-Edge Business Technologies in the Big Data Era
Editors and Affiliations
Bibliographic Information
Book Title: Cutting-Edge Business Technologies in the Big Data Era
Book Subtitle: Proceedings of the 18th SICB “Sustainability and Cutting-Edge Business Technologies” Volume 2
Editors: Saad G. Yaseen
Series Title: Studies in Big Data
DOI: https://doi.org/10.1007/978-3-031-42455-7
Publisher: Springer Cham
eBook Packages: Intelligent Technologies and Robotics, Intelligent Technologies and Robotics (R0)
Copyright Information: The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG 2023
Hardcover ISBN: 978-3-031-42454-0Published: 27 August 2023
Softcover ISBN: 978-3-031-42457-1Published: 28 August 2024
eBook ISBN: 978-3-031-42455-7Published: 26 August 2023
Series ISSN: 2197-6503
Series E-ISSN: 2197-6511
Edition Number: 1
Number of Pages: X, 428
Number of Illustrations: 31 b/w illustrations, 77 illustrations in colour
Topics: Data Engineering, Big Data, Computational Intelligence