This book covers Big Data, Machine Learning, and Artificial Intelligences related technologies and how these technologies can enable design, development, and delivery of customer-focused financial services to both corporate and retail customers and how to extend the benefits to the financially excluded sections of society.
This book covers Big Data, Machine Learning, and Artificial Intelligences related technologies and how these technologies can enable design, development, and delivery of customer-focused financial services to both corporate and retail customers and how to extend the benefits to the financially excluded sections of society.
Rajat Gera Professor, Officiating Director School of Management and Dean School of Management, school of Economics and Commerce, School of Social Sciences and Humanities, CMR University, Bangalore, India Djamchid Assadi is a Professor at the Burgundy School of Business and is member of several academic councils and editorial boards. Marzena Starnawska is a Senior Research Fellow in the Faculty of Management, University of Warsaw. She is an active member of EURAM community where she acts as board member and SIG Entrepreneurship Chair.
Inhaltsangabe
1. Big Data and Artificial Intelligence for Financial Inclusion: Benefits and Issues. 2. The Contribution of AI-Based Analysis and Rating Models to Financial Inclusion: The Lenddo Case for Women-Led SMEs in Developing Countries. 3. Is the Capital Market based on Blockchain Technology Efficient for Financial Inclusion?. 4. Exploring the Regulatory contexts of Fintech Innovation for Financial IInclusion: The Case of Distributed Ledger Technologies in India. 5. Financial Inclusion through the Sphere of Solidarity in Corporate Governance: The Cases of Digital Crowdfunding and Conventional Microfinance. 6. Why Do Bank Customers Adopt FinTech Solution: The Case of India. 7. A Scientometric and Bibliometric Review of Impacts and Application of Artificial Intelligence and Fintech for Financial Inclusion. 8. The Role of Islamic Fintech in Indonesia to Improve Financial Inclusion for Resolving SDGs. 9. Challenges of Artificial Intelligence Adoption for Financial Inclusion.
1. Big Data and Artificial Intelligence for Financial Inclusion: Benefits and Issues. 2. The Contribution of AI-Based Analysis and Rating Models to Financial Inclusion: The Lenddo Case for Women-Led SMEs in Developing Countries. 3. Is the Capital Market based on Blockchain Technology Efficient for Financial Inclusion?. 4. Exploring the Regulatory contexts of Fintech Innovation for Financial IInclusion: The Case of Distributed Ledger Technologies in India. 5. Financial Inclusion through the Sphere of Solidarity in Corporate Governance: The Cases of Digital Crowdfunding and Conventional Microfinance. 6. Why Do Bank Customers Adopt FinTech Solution: The Case of India. 7. A Scientometric and Bibliometric Review of Impacts and Application of Artificial Intelligence and Fintech for Financial Inclusion. 8. The Role of Islamic Fintech in Indonesia to Improve Financial Inclusion for Resolving SDGs. 9. Challenges of Artificial Intelligence Adoption for Financial Inclusion.
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