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Cutting-Edge Business Technologies in the Big Data Era

Proceedings of the 18th SICB “Sustainability and Cutting-Edge Business Technologies” Volume 1

  • Conference proceedings
  • © 2023

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 135)

Included in the following conference series:

Conference proceedings info: SICB 2023.

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Table of contents (32 papers)

Other volumes

  1. Cutting-Edge Business Technologies in the Big Data Era

  2. Cutting-Edge Business Technologies in the Big Data Era

Keywords

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?

Editors and Affiliations

  • Faculty of Business, Information Systems and Business Analytics, Al-Zaytoonah University of Jordan, Amman, Jordan

    Saad G. Yaseen

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 1

  • Editors: Saad G. Yaseen

  • Series Title: Studies in Big Data

  • DOI: https://doi.org/10.1007/978-3-031-42463-2

  • 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: 978-3-031-42465-6Published: 31 August 2023

  • Softcover ISBN: 978-3-031-42462-5Due: 01 October 2023

  • eBook ISBN: 978-3-031-42463-2Published: 30 August 2023

  • Series ISSN: 2197-6503

  • Series E-ISSN: 2197-6511

  • Edition Number: 1

  • Number of Pages: X, 358

  • Number of Illustrations: 21 b/w illustrations, 49 illustrations in colour

  • Topics: Data Engineering, Big Data, Computational Intelligence

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