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

The Big Data-Driven Digital Economy: Artificial and Computational Intelligence
Author :
Publisher : Springer Nature
Total Pages : 472
Release :
ISBN-10 : 9783030730574
ISBN-13 : 3030730573
Rating : 4/5 (74 Downloads)

Synopsis The Big Data-Driven Digital Economy: Artificial and Computational Intelligence by : Abdalmuttaleb M. A. Musleh Al-Sartawi

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.

Artificial Intelligence, Internet of Things, and Society 5.0

Artificial Intelligence, Internet of Things, and Society 5.0
Author :
Publisher : Springer Nature
Total Pages : 590
Release :
ISBN-10 : 9783031433009
ISBN-13 : 3031433009
Rating : 4/5 (09 Downloads)

Synopsis Artificial Intelligence, Internet of Things, and Society 5.0 by : Azzam Hannoon

This book unlike any other previous book provides a platform for scholars and researchers to present the latest insights and findings on the application of artificial intelligence and other sustainable technologies for a human-centric society. It brings together technology with society with special attention given to AI and IoT-related intricacies for a digital economy. It covers a variety of research topics including block ciphers, network marketing for sustainability entrepreneurship and AI, AI and stock trading decisions, digital transformation, knowledge management, chatbot engineering, cybersecurity, and smart metering system. The book is a comprehensive reference work for scholars, academics, policymakers, students, and professionals presenting an overall understanding of AI, its present and future trends, and presents a discourse on important policies and strategies on inclusivity, diversity, bias, accountability, security, metaverse applications of AI, and other technologies such as IoT.

Artificial Intelligence for Sustainable Finance and Sustainable Technology

Artificial Intelligence for Sustainable Finance and Sustainable Technology
Author :
Publisher : Springer Nature
Total Pages : 637
Release :
ISBN-10 : 9783030934644
ISBN-13 : 3030934640
Rating : 4/5 (44 Downloads)

Synopsis Artificial Intelligence for Sustainable Finance and Sustainable Technology by : Abdalmuttaleb M. A. Musleh Al-Sartawi

This book shows latest research on artificial intelligence for sustainable technology. ICGER 2021 was organized by the Accounting, Finance and Banking Department at Ahlia University, Bahrain, and was conducted on the 15th and 16th of September. The strategic partners included the University of Jordan, the Bahrain Economists Society, the Association of Chartered Certified Accountants: ACCA, Al-Barka Banking Group and the International Computer Auditing Education Association: ICAEA . The theme of the ICGER 2021 centered around artificial intelligence for sustainable finance and sustainable technology. Accordingly, the papers presented at the conference provided a holistic view of sustainable finance, sustainability, AI, financial technology, cybersecurity, blockchain, CSR, and governance. This book, unlike ever before, brings together intelligence applications of new technologies and the sustainability requirements in the era of the digital economy, with special attention given to the opportunities, challenges, for education, business growth, and economic progression of nations which will help societies (economists, financial managers, engineers, ICT specialists, digital managers, data managers, policymakers, regulators, researchers, academics, and students) to better understand, use, and control AI applications and financial technologies to develop future strategies and to achieve sustainable development goals.

Business Analytical Capabilities and Artificial Intelligence-enabled Analytics: Applications and Challenges in the Digital Era, Volume 2

Business Analytical Capabilities and Artificial Intelligence-enabled Analytics: Applications and Challenges in the Digital Era, Volume 2
Author :
Publisher : Springer Nature
Total Pages : 445
Release :
ISBN-10 : 9783031572425
ISBN-13 : 3031572424
Rating : 4/5 (25 Downloads)

Synopsis Business Analytical Capabilities and Artificial Intelligence-enabled Analytics: Applications and Challenges in the Digital Era, Volume 2 by : Abdalmuttaleb M. A. Musleh Al-Sartawi

Business Analytical Capabilities and Artificial Intelligence-Enabled Analytics: Applications and Challenges in the Digital Era, Volume 1

Business Analytical Capabilities and Artificial Intelligence-Enabled Analytics: Applications and Challenges in the Digital Era, Volume 1
Author :
Publisher : Springer Nature
Total Pages : 441
Release :
ISBN-10 : 9783031560156
ISBN-13 : 3031560159
Rating : 4/5 (56 Downloads)

Synopsis Business Analytical Capabilities and Artificial Intelligence-Enabled Analytics: Applications and Challenges in the Digital Era, Volume 1 by : Abdalmuttaleb M. A. Musleh Al-Sartawi

Artificial Intelligence-Augmented Digital Twins

Artificial Intelligence-Augmented Digital Twins
Author :
Publisher : Springer Nature
Total Pages : 673
Release :
ISBN-10 : 9783031434907
ISBN-13 : 3031434900
Rating : 4/5 (07 Downloads)

Synopsis Artificial Intelligence-Augmented Digital Twins by : Abdalmuttaleb M. A. Musleh Al-Sartawi

Presently, we stand on the threshold of a technological revolution that will drastically change the way we live, work, and communicate with each other. By the current rate, scope, and complexity, this transformation will be as fundamental for society as any other technological paradigm change from the past. The industries which are more susceptible to change are technologically oriented industries including banking, finance, accounting, and auditing. One of the technological concepts of the technological revolution is the concept of the digital twin. The application of digital twins and AI as paired with Internet of Things technologies makes it possible to solve ESG problems on a completely different level (Li, 2019) for accounting firms and financial institutions. These include recycling on demand, rational energy consumption, smart surveillance cameras for crime tracking, and smart branch parking solutions, monitoring the wear and tear and conditions of financial technology infrastructures. Moreover, numerous researchers and practitioners emphasize the significance of innovating sustainable business models and operations (Geissdoerfer et al., 2018). The digital twin will allow businesses and financial institutions to minimize costs, boost customer service, and find new ways to generate revenue. DTW is accessible now more than ever, and many reputable and innovative companies such as Tesla, Ericsson, and Siemens have adopted it with varying success. Therefore, this book examines the opportunities, challenges, and risks of artificial intelligence-augmented digital twins for financial operations, innovation, and sustainable development. It focuses on AI and digital twin technologies to furnish solutions for the current industrial revolution including the Metaverse. Henceforth, this book aims to encourage authors to submit multi-disciplinary chapters indicating the current scholarly challenges about the applications and potential of artificial intelligence and digital twins in accounting, finance, and banking.

Artificial Intelligence Systems and the Internet of Things in the Digital Era

Artificial Intelligence Systems and the Internet of Things in the Digital Era
Author :
Publisher : Springer Nature
Total Pages : 536
Release :
ISBN-10 : 9783030772468
ISBN-13 : 3030772462
Rating : 4/5 (68 Downloads)

Synopsis Artificial Intelligence Systems and the Internet of Things in the Digital Era by : Abdalmuttaleb M.A Musleh Al-Sartawi

This book brings together intelligence systems and the Internet of Things, with special attention given to the opportunities, challenges, for education, business growth, and economic progression of nations which will help societies (economists, financial managers, engineers, ICT specialists, digital managers, data managers, policymakers, regulators, researchers, academics, and students) to better understand, use, and control AI and IoT to develop future strategies and to achieve sustainability goals. EAMMIS 2021 was organized by the Bridges Foundation in cooperation with the Istanbul Medeniyet University, Istanbul, Turkey, on March 19–20, 2021. EAMMIS 2021 theme was Artificial Intelligence Systems and the Internet of Things in the digital era. The papers presented at the conference provide a holistic view of AI education, MIS, cybersecurity, blockchain, Internet of Ideas (IoI), and knowledge management.

Powering the Digital Economy: Opportunities and Risks of Artificial Intelligence in Finance

Powering the Digital Economy: Opportunities and Risks of Artificial Intelligence in Finance
Author :
Publisher : International Monetary Fund
Total Pages : 35
Release :
ISBN-10 : 9781589063952
ISBN-13 : 1589063953
Rating : 4/5 (52 Downloads)

Synopsis Powering the Digital Economy: Opportunities and Risks of Artificial Intelligence in Finance by : El Bachir Boukherouaa

This paper discusses the impact of the rapid adoption of artificial intelligence (AI) and machine learning (ML) in the financial sector. It highlights the benefits these technologies bring in terms of financial deepening and efficiency, while raising concerns about its potential in widening the digital divide between advanced and developing economies. The paper advances the discussion on the impact of this technology by distilling and categorizing the unique risks that it could pose to the integrity and stability of the financial system, policy challenges, and potential regulatory approaches. The evolving nature of this technology and its application in finance means that the full extent of its strengths and weaknesses is yet to be fully understood. Given the risk of unexpected pitfalls, countries will need to strengthen prudential oversight.