Synergy of AI and Fintech in the Digital Gig Economy
CRC Press (Verlag)
978-1-032-71676-3 (ISBN)
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The convergence of Artificial Intelligence (AI) and Financial Technology (Fintech) has ushered in a new era of innovation in the finance ecosystem, particularly within the context of the digital gig economy. This emerging trend has created a unique set of challenges and opportunities, which AI and Fintech are poised to address. This book explores how the convergence of these cutting-edge technologies is reshaping the financial landscape, especially related to the way people work and earn in the gig economy, and examines the rise of the digital gig economy and its impact on the traditional workforce.
Synergy of AI and Fintech in the Digital Gig Economy presents the key advancements in AI and Fintech, how they are disrupting traditional financial systems, and how AI-powered tools and platforms are streamlining financial processes, enhancing decision-making, and providing personalized services to individuals and businesses. The book explores how the synergy of AI and Fintech is advancing financial inclusion and looks at how these technologies are providing previously underserved populations with access to financial services and empowering them to participate in the global economy. Highlights include how AI and Fintech are revolutionizing risk assessment and management in the financial sector and discuss the use of advanced algorithms to detect fraud, assess creditworthiness, and mitigate financial risk more effectively. The book also addresses the regulatory challenges and ethical considerations arising from the integration of AI and Fintech and discusses the need for responsible AI and data privacy to ensure sustainable development. Insights, case studies, and practical examples provided in the book show how AI and Fintech are driving transformative changes and represent an area of significant interest and importance in the realm of finance and technology.
Written for students, scholars, lecturers, researchers, scientists, experts, specialists, and engineers, this book represents an area of significant interest and importance in the realm of finance and technology. Real-world examples and contributions from industry experts give readers a comprehensive understanding of this hot trending topic.
Alex Khang is a Professor in Information Technology, D.Sc. D.Litt., AI and Data Scientist, Software industry expert, and the Chief of Technology Officer at the Global Research Institute of Technology and Engineering, North Carolina, United States. He has published 74 documents indexed by Scopus. Authored 52 books, 3 on software development, and authored/co-authored 10 papers and 50 book chapters. He has also edited 15 books and is calling for book chapters for 17 edited books in the fields of AI ecosystem. He has over 30 years of working experience as a product manager, data engineer, AI engineer, cloud solution architect, solution architect, software architect, and database expert in the foreign corporations of Germany, Sweden, the United States, Singapore, and multinationals (former CEO, CTO, Engineering Director, Product Manager, Data Product Manager). Babasaheb Jadhav is an Associate Professor in Finance and International Business at Dr. D. Y. Patil Vidyapeeth (Deemed to be University), Global Business School and Research Centre, Sant Tukaram Nagar, Pimpri, Pune (Maharashtra), India. He has more than 12 years of experience in industry, research, and academics. Dr. Jadhav has earned his Ph.D. from Savitribai Phule Pune University (SPPU) in Financial Management. He has to his credit 1 Funded Research Project, 2 Patents, 6 copyrights, 7 books, and more than 50 research papers, which include case studies in various national and internationally indexed journals and 4 articles published by reputed magazines and national newspapers. His areas of interest and research include Financial Management, Taxation, Economics, General Management, and International Business Management. Vugar Abdullayev Hajimahmud is a Doctor of Technical Sciences, Associate Professor, at Azerbaijan State Oil, and Industry University, Baku, Azerbaijan. He completed his Ph.D. in Computer Science in 2005 and is currently an Associate Professor of the Computer Engineering Department at the Azerbaijan State Oil and Industry University. He is the author of 61 scientific papers and his research is related to the study of cyber-physical systems, IoT, big data, smart cities, and information technologies. He has published 4 book chapters and 1 edited book on the Healthcare Ecosystem with CRC Press/Taylor and Francis. Ipseeta Satpathy is a Senior Professor, Ph.D., D.Litt., and former visiting professor at Lynchburg College Virginia, USA. She is the winner of the Oxford Journal Distinguished Research Professor Award, at Cambridge University, London, and has over 23 years of experience in teaching and administration at KIIT University. She has authored 6 books and has published more than 200 research papers in various referred national and international journals, and conference proceedings of more than 60 research papers which are Scopus indexed. In 2014 Dr. Satpathy was awarded the prestigious Oxford Journal Distinguished Research Professor Award at Cambridge University, London, and was invited by the Charlton Business School, University of Massachusetts to address the fraternity.
1. Introduction to the Gig economy. 2. Role of Artificial Intelligence (AI) in Digital Gig Economy. 3. The Landscape of Artificial Intelligence (AI) in Enriching the Fintech Sector. 4. Data Analytics - A Study of State of the Art in the Era of Digital Economy. 5. Artificial Intelligence (AI) Driven Workforce Planning for the Gig Economy Era: Setting a New Direction. 6. Artificial Intelligence and Big Data Analytics in Digital Gig Finance. 7. Impact of Entry Barriers of Gig Workers in Gig Economy with Special Reference to Food Delivery Platforms. 8. Managing Financial Risks in the Gig Economy. 9. The Influencer Marketing – Building Trust and Brand Advocacy in the era of Gig Economy. 10. Artificial Intelligence (AI) in Fintech - Enhancing Financial Services. 11. Leveraging Blockchain and Smart Contracts for Gig Payments. 12. Blockchain-Infused Intelligence: An In-Depth Exploration of Smart Contracts and Beyond in Advancing Artificial Intelligence (AI)-Powered Gig Finance Payments. 13. Embracing Flexibility: An Overview of Talent Management in the Contemporary Gig Economy. 14. The Relationship between Financial Literacy and Investment Strategies among Gig Workers. 15. Boosting and Embracing Artificial Intelligence (AI) and Machine Learning for the Future of Digital Marketing . 16. Gig Financial Economy- Big Data and Analytics. 17. Underlying Opportunities and Challenges of Digitalization in Gig Economy. 18. Internal Dynamics of Gig Economy in Unorganized Sectors of the Nation. 19. Financial Technology Oriented to the Information Technology (IT) Investment Effectiveness for Increasing Value of Banking Companies. 20. Enhancement of Organizational Accounting Information Systems and Financial Control through Enterprise Resource Planning (ERP). 21. Fintech and Data Science: Shaping the Future of the Digital Economy. 22. A Localized Manpower Service App for On-Demand Labor: Bridging Gaps in Accessibility and Efficiency. 23. Generative Artificial Intelligence (AI) as the Killer App: Revolutionizing Human-Robot Interaction. 24. Crafting Shopping Experiences using Artificial Intelligence (AI). 25. The Role of Artificial Intelligence (AI) in Sustainable Development in Industry Revolution 4.0 Economy.
Erscheinungsdatum | 30.08.2024 |
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Zusatzinfo | 38 Tables, black and white; 67 Line drawings, black and white; 8 Halftones, black and white; 75 Illustrations, black and white |
Verlagsort | London |
Sprache | englisch |
Maße | 156 x 234 mm |
Gewicht | 980 g |
Themenwelt | Mathematik / Informatik ► Informatik ► Datenbanken |
Informatik ► Theorie / Studium ► Künstliche Intelligenz / Robotik | |
Recht / Steuern ► Privatrecht / Bürgerliches Recht ► IT-Recht | |
Wirtschaft ► Betriebswirtschaft / Management ► Finanzierung | |
ISBN-10 | 1-032-71676-2 / 1032716762 |
ISBN-13 | 978-1-032-71676-3 / 9781032716763 |
Zustand | Neuware |
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