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Full Description
The operations of the banking and finance sectors have greatly changed as they have integrated new and innovative smart technologies. Evolving digital technologies such as machine learning and artificial intelligence have given business and financial analysis new tools that provide the opportunity to analyze financial information for better decision making and market risk management. This new volume looks at these developments through a definitive assessment of how AI and ML have influenced today's business finance processes. It explores the opportunities and risks that may originate from fintech as well as the ethical issues connected with artificial intelligence and machine learning. It looks at the changing landscape of investments, the confluence of social commerce and machine learning, assessing customer awareness and engagement in green banking, machine learning algorithms for forecasting, gender bias in investment behavior through machine learning, and much more.
Contents
Introduction 1. Unlocking Financial Intelligence: Navigating the Machine Learning Landscape in Finance 2. AI Ethics: From Search Engines to AI Assistants, Analyzing the Transformation of Internet Browsing and Its Consequences for Content Websites and Online Advertising 3. Changing Landscape of Investments in Contemporary Times: Challenges and Opportunities 4. Antecedents and Impact of Workplace Cyberbullying: A Systematic Literature Review 5. Exploring the Future of Fintech: Innovations, Challenges, and Opportunities 6. Reshaping Finance in the Digital Age: The Confluence of Social Commerce and Machine Learning 7. Mapping the Landscape: A Bibliometric Journey through Machine Learning Research 8. Financial Services Employing Artificial Intelligence and Machine Learning 9. Artificial Intelligence (AI) and Machine Learning (ML) in Indian Finance: Present Landscape and Future Trajectory 10. Sustainable Finance in Focus: Assessing Customer Awareness and Engagement in Green Banking 11. Predictive Analytics in Finance: Harnessing AI and ML for Market Risk Management 12. Revolutionizing Finance: A Primer on Machine Learning Applications 13. A Machine Learning Algorithm for Forecasting Customer Churn in the Motor Insurance Industry 14. The Utilization of Machine Learning Techniques in the Prediction and Manipulation of Consumer Purchase Intentions 15. Equitable Horizons: Navigating Gender Bias in Investment Behavior Through Machine Learning
