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The Big Data-Driven Digital Economy: Artificial and Computational Intelligence

Record Type:	Language materials, printed : Monograph/item
Title/Author:	The Big Data-Driven Digital Economy: Artificial and Computational Intelligence/ edited by Abdalmuttaleb M. A. Musleh Al-Sartawi.
other author:	Musleh Al-Sartawi, Abdalmuttaleb M. A.
Description:	XVI, 472 p. 42 illus., 27 illus. in color.online resource. :
Contained By:	Springer Nature eBook
Subject:	Engineering—Data processing. -
Online resource:	https://doi.org/10.1007/978-3-030-73057-4
ISBN:	9783030730574

The Big Data-Driven Digital Economy: Artificial and Computational Intelligence
The Big Data-Driven Digital Economy: Artificial and Computational Intelligence[electronic resource] /edited by Abdalmuttaleb M. A. Musleh Al-Sartawi. - 1st ed. 2021. - XVI, 472 p. 42 illus., 27 illus. in color.online resource. - Studies in Computational Intelligence,9741860-9503 ;. - Studies in Computational Intelligence,564.

Leveraging Big Data to Accelerate Supply Chain Management in Covid-19 -- Mobile Computing Technologies for Enhanced Living Environments: A Literature Review -- Sentiment Analysis for Modern Standard Dialect Using Genetic Folding Algorithm -- The Usage of E- Learning among Mass Communication Students -- The Influence of Relational Capital on the Relationship between Intellectual Capital and Earnings Per Share in the Digital Economy in the Jordanian Industrial Sector -- Machine Learning and Earnings Management Detection -- Artificial Intelligence and IT Governance: A Literature Review -- Blending of Physicians’ Leadership and Decision-making Style Within Virtual Platforms for Improving Service Quality -- Social Capital Improves Virtually Shared Learner for Enhancing Their Readiness to Learn -- Game-based Learning: Recommendations Driven from Literature -- Utilizing Blockchain Technology to Manage Functional Areas in Healthcare Systems -- Fintech and Entrepreneurship Boosting in Developing Countries: A Comparative Study of India and Egypt.

This book shows digital economy has become one of the most sought out solutions to sustainable development and economic growth of nations. This book discusses the implications of both artificial intelligence and computational intelligence in the digital economy providing a holistic view on AI education, economics, finance, sustainability, ethics, governance, cybersecurity, blockchain, and knowledge management. Unlike other books, this book brings together two important areas, intelligence systems and big data in the digital economy, with special attention given to the opportunities, challenges, for education, business growth, and economic progression of nations. The chapters hereby focus on how societies can take advantage and manage data, as well as the limitations they face due to the complexity of resources in the form of digital data and the intelligence which will support economists, financial managers, engineers, ICT specialists, digital managers, data managers, policymakers, regulators, researchers, academics, students, economic development strategies, and the efforts made by the UN towards achieving their sustainability goals.

ISBN: 9783030730574

Standard No.: 10.1007/978-3-030-73057-4doiSubjects--Topical Terms:

1297966
Engineering—Data processing.

LC Class. No.: TA345-345.5

Dewey Class. No.: 620.00285

The Big Data-Driven Digital Economy: Artificial and Computational Intelligence
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520 $a This book shows digital economy has become one of the most sought out solutions to sustainable development and economic growth of nations. This book discusses the implications of both artificial intelligence and computational intelligence in the digital economy providing a holistic view on AI education, economics, finance, sustainability, ethics, governance, cybersecurity, blockchain, and knowledge management. Unlike other books, this book brings together two important areas, intelligence systems and big data in the digital economy, with special attention given to the opportunities, challenges, for education, business growth, and economic progression of nations. The chapters hereby focus on how societies can take advantage and manage data, as well as the limitations they face due to the complexity of resources in the form of digital data and the intelligence which will support economists, financial managers, engineers, ICT specialists, digital managers, data managers, policymakers, regulators, researchers, academics, students, economic development strategies, and the efforts made by the UN towards achieving their sustainability goals.
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