Artificial Intelligence, Fintech, and Financial Inclusion - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Artificial Intelligence, Fintech, and Financial Inclusion write by Rajat Gera. This book was released on 2023-12-28. Artificial Intelligence, Fintech, and Financial Inclusion available in PDF, EPUB and Kindle. This book covers big data, machine learning, and artificial intelligence-related technologies and how these technologies can enable the design, development, and delivery of customer-focused financial services to both corporate and retail customers, as well as how to extend the benefits to the financially excluded sections of society. Artificial Intelligence, Fintech, and Financial Inclusion describes the applications of big data and its tools such as artificial intelligence and machine learning in products and services, marketing, risk management, and business operations. It also discusses the nature, sources, forms, and tools of big data and its potential applications in many industries for competitive advantage. The primary audience for the book includes practitioners, researchers, experts, graduate students, engineers, business leaders, and analysts researching contemporary issues in the area.
FinTech in Financial Inclusion: Machine Learning Applications in Assessing Credit Risk
FinTech in Financial Inclusion: Machine Learning Applications in Assessing Credit Risk - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook FinTech in Financial Inclusion: Machine Learning Applications in Assessing Credit Risk write by Majid Bazarbash. This book was released on 2019-05-17. FinTech in Financial Inclusion: Machine Learning Applications in Assessing Credit Risk available in PDF, EPUB and Kindle. Recent advances in digital technology and big data have allowed FinTech (financial technology) lending to emerge as a potentially promising solution to reduce the cost of credit and increase financial inclusion. However, machine learning (ML) methods that lie at the heart of FinTech credit have remained largely a black box for the nontechnical audience. This paper contributes to the literature by discussing potential strengths and weaknesses of ML-based credit assessment through (1) presenting core ideas and the most common techniques in ML for the nontechnical audience; and (2) discussing the fundamental challenges in credit risk analysis. FinTech credit has the potential to enhance financial inclusion and outperform traditional credit scoring by (1) leveraging nontraditional data sources to improve the assessment of the borrower’s track record; (2) appraising collateral value; (3) forecasting income prospects; and (4) predicting changes in general conditions. However, because of the central role of data in ML-based analysis, data relevance should be ensured, especially in situations when a deep structural change occurs, when borrowers could counterfeit certain indicators, and when agency problems arising from information asymmetry could not be resolved. To avoid digital financial exclusion and redlining, variables that trigger discrimination should not be used to assess credit rating.
Synergy of AI and Fintech in the Digital Gig Economy
Synergy of AI and Fintech in the Digital Gig Economy - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Synergy of AI and Fintech in the Digital Gig Economy write by Alex Khang. This book was released on 2024-09-11. Synergy of AI and Fintech in the Digital Gig Economy available in PDF, EPUB and Kindle. The convergence of AI and Financial Technology (Fintech) has ushered in a new era of innovation in the finance ecosystem, particularly within the digital gig economy. This book explores how these cutting-edge technologies are reshaping the financial landscape and the digital gig economy's impact on the traditional workforce.
Financial Technology and Disruptive Innovation in ASEAN
Financial Technology and Disruptive Innovation in ASEAN - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Financial Technology and Disruptive Innovation in ASEAN write by Anshari, Muhammad. This book was released on 2019-07-05. Financial Technology and Disruptive Innovation in ASEAN available in PDF, EPUB and Kindle. The emergence of financial technology (FinTech)-related products is causing major disruptions in financial services that enable financial solutions and innovative business models resulting in the fusion of finance and smart mobile technology. As ASEAN is undergoing a paradigm shift from government-to-government (G2G) to community-to-community (C2C) relationships with the emphasis on integration and collaboration, the adoption of FinTech and its possible future directions needs to be studied further. Financial Technology and Disruptive Innovation in ASEAN provides an assortment of innovative research that explores the recent FinTech initiative in ASEAN with respect to its process, strategies, challenges, and outcomes and highlights new business models, products, and services that affect financial markets and institutions and the provision of financial services. While highlighting topics including blockchain technology, cloud computing, and mobile banking, this book is ideally designed for business executives, managers, entrepreneurs, financial and banking practitioners, policymakers, academicians, students, professionals, and researchers.
Risks and Challenges of AI-Driven Finance: Bias, Ethics, and Security
Risks and Challenges of AI-Driven Finance: Bias, Ethics, and Security - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Risks and Challenges of AI-Driven Finance: Bias, Ethics, and Security write by Kunjumuhammed, Siraj Kariyilaparambu. This book was released on 2024-08-01. Risks and Challenges of AI-Driven Finance: Bias, Ethics, and Security available in PDF, EPUB and Kindle. Integrating Artificial Intelligence (AI) presents immense opportunities and daunting challenges in the rapidly evolving finance landscape as AI-driven algorithms and models revolutionize decision-making and enhance efficiency, concerns about bias, ethics, and security loom. Financial institutions must navigate these complexities responsibly while leveraging AI's potential to innovate and thrive. Risks and Challenges of AI-Driven Finance: Bias, Ethics, and Security guides this dynamic environment. Written for professionals, researchers, policymakers, and students, this book comprehensively explores AI's impact on finance. It delves into the intricacies of bias in algorithms, ethical frameworks, cybersecurity, and regulatory compliance, offering actionable insights to address these critical issues.
