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From machine learning to artificial intelligencethe modern machine intelligence approach for financial and economic inclusion /

Record Type:	Electronic resources : Monograph/item
Title/Author:	From machine learning to artificial intelligenceedited by Abdalmuttaleb M. A. Musleh Al-Sartawi ... [et al.].
Reminder of title:	the modern machine intelligence approach for financial and economic inclusion /
other author:	Musleh Al-Sartawi, Abdalmuttaleb M. A.
Published:	Cham :Springer Nature Switzerland :2025.
Description:	xix, 1824 p. :ill., digital ;24 cm.
Contained By:	Springer Nature eBook
Subject:	Machinery.
Online resource:	https://doi.org/10.1007/978-3-031-76011-2
ISBN:	9783031760112$q(electronic bk.)

From machine learning to artificial intelligencethe modern machine intelligence approach for financial and economic inclusion /
From machine learning to artificial intelligencethe modern machine intelligence approach for financial and economic inclusion /[electronic resource] :edited by Abdalmuttaleb M. A. Musleh Al-Sartawi ... [et al.]. - Cham :Springer Nature Switzerland :2025. - xix, 1824 p. :ill., digital ;24 cm. - Studies in systems, decision and control,v. 5722198-4190 ;. - Studies in systems, decision and control ;v.3..

Navigating the Complexities of Translation Studies in the Legal Field -- The Impact of COSO System Implementation of Internal Control on Improving the Quality of Financial Statements in Jordanian Commercial Banks Listed in Amman Stock Exchange -- The Effect of Arabi Islami Smart Mobile Application on Customer Satisfaction: A Field Study on Clients of the Islamic International Arab Bank in Zarqa, Jordan -- The Impact of Applying Enterprise Resource Planning System (ERP) on Stock Price in Industrial Companies -- The Impact of Technical Provisions for Insurance Operations on the Financial Statements in Insurance Companies Listed in Amman Stock Exchange.

The world is on a cusp of something great. Technology has advanced from solving simple issues to complex issues in both human life and other aspects such as social, economic, and environmental issues. The significance of machine intelligence as a tool to propel human as well as economic development is an important and hot topic today. This book is about how modern machine intelligence, AI, and machine learning applications can be used by governments and firms for financial and economic inclusion, as well as for providing solutions to bridge the digital divide. It aims to cover philosophical discussions, frameworks, and applications on central topics in machine intelligence, deep learning, mesh networks, frugal engineering, frugal innovation, blockchain technology, alternate networks, and intelligent digital financial inclusion system architectures. This book also aims to discuss the initiatives, policies, strategies, and governance issues related to furnishing technologies for technology access, financial inclusion and in turn economic growth. There is a need for financial inclusion for the rapidly dynamic Industry 4.0. Therefore, linking technology, more particularly machine intelligence with financial inclusion and technology access is quite crucial given the current technological environment. Additionally, financial inclusion helps in enhancing the level of economic and social inclusion in many societies and developing countries as well as help in reducing poverty levels. Policy makers in several countries continue to commit significant resources and technologies to increase the level of financial inclusion in their countries to reduce financial exclusion. In developing countries, financial inclusion remains below potential in part due to the digital divide, limited technology access and the challenge for financial institutions in developing products for the low-income mass market (Hook IV, 2019; Marimuthu et al., 2022). These matters are important topics to be researched and discussed, especially with the advancement of technology such as artificial intelligence, machine learning, blockchain, business intelligence, online education, in the current post-pandemic environment which catalysed these digital transformations. Therefore, this book has been proposed to discuss a very important and emerging topics which contributes significantly to policy and the SDGs in the digital economy.

ISBN: 9783031760112$q(electronic bk.)

Standard No.: 10.1007/978-3-031-76011-2doiSubjects--Topical Terms:

712038
Machinery.

LC Class. No.: TJ1058

Dewey Class. No.: 621.8

From machine learning to artificial intelligencethe modern machine intelligence approach for financial and economic inclusion /
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520 $a The world is on a cusp of something great. Technology has advanced from solving simple issues to complex issues in both human life and other aspects such as social, economic, and environmental issues. The significance of machine intelligence as a tool to propel human as well as economic development is an important and hot topic today. This book is about how modern machine intelligence, AI, and machine learning applications can be used by governments and firms for financial and economic inclusion, as well as for providing solutions to bridge the digital divide. It aims to cover philosophical discussions, frameworks, and applications on central topics in machine intelligence, deep learning, mesh networks, frugal engineering, frugal innovation, blockchain technology, alternate networks, and intelligent digital financial inclusion system architectures. This book also aims to discuss the initiatives, policies, strategies, and governance issues related to furnishing technologies for technology access, financial inclusion and in turn economic growth. There is a need for financial inclusion for the rapidly dynamic Industry 4.0. Therefore, linking technology, more particularly machine intelligence with financial inclusion and technology access is quite crucial given the current technological environment. Additionally, financial inclusion helps in enhancing the level of economic and social inclusion in many societies and developing countries as well as help in reducing poverty levels. Policy makers in several countries continue to commit significant resources and technologies to increase the level of financial inclusion in their countries to reduce financial exclusion. In developing countries, financial inclusion remains below potential in part due to the digital divide, limited technology access and the challenge for financial institutions in developing products for the low-income mass market (Hook IV, 2019; Marimuthu et al., 2022). These matters are important topics to be researched and discussed, especially with the advancement of technology such as artificial intelligence, machine learning, blockchain, business intelligence, online education, in the current post-pandemic environment which catalysed these digital transformations. Therefore, this book has been proposed to discuss a very important and emerging topics which contributes significantly to policy and the SDGs in the digital economy.
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