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Full Description
Cutting-edge technologies have recently shown great promise in a variety of activities for enhancing the existing services of a bank such as the improvement of transactions, ensuring that transactions are done correctly, and managing records of services of savings accounts, loan and mortgage services, wealth management, providing credit and debit cards, overdraft services and physical evidence as key drivers of bank ecosystem. In the financial world, emerging analytics and prediction tools can be used to analyze and visualize structured data, such as financial market data, and to forecast future trends that can be supported by leaders to make informed decisions about investment strategies.
This book explores the importance of artificial intelligence (AI)-based predictive analytics tools in the financial services industry and their role in combating financial fraud. As fintech continues to revolutionize the financial landscape, it also brings forth new challenges, including sophisticated fraudulent activities. Therefore, this book shares the problem of enhancing fraud detection and prevention through the application of predictive analytics.
This book contributes to a deeper understanding of the importance of predictive analytics in the finance field and its pivotal role in cybersecurity and combating fraud. It provides valuable insights for the financial services industry, researchers, and policymakers, aiming to fortify the security and resilience of financial systems in the face of evolving financial fraud challenges.
Cuurently, AI has replaced recurrent intellectual decisions due to the availability of information and its access. These changes have created a revolution in financial operations resulting in environmental variations in the banking and finance sectors. Likewise, analytics transformed the not only finance field but also banking as it is increasing the transparency of lending-related activities.
In addition, this book provides a set of tools for complex analyses of people-related data and through a variety of statistical analysis techniques ranging from simple descriptive statistics to machine learning, HR analytics enables performance evaluation and increases the transparency of finance transactions as well as the problems, advantages, and disadvantages of new digital transformation. The book is not merely a compilation of technical knowledge; it is a beacon of innovation that beckons readers to envision a future where cutting-edge technologies and finance services intertwine seamlessly.
With its engaging and thought-provoking content, the book leaves an indelible impression, urging readers to embrace the transformative power of technology and embark on a collective mission to unlock the full potential of fintech for the betterment of humanity.
Contents
Chapter 1: Cutting-Edge Technologies and Applications for Digital Banking and Financial Services 2. Quantum Computing and Portfolio Optimization in Finance Services 3. Fintech and Data Science Shaping the Future of the Digital Economy Chapter 4. Financial Forecasting with Convolutional Neural Networks (CNNs): Trends and Challenges Chapter 5. Application of Internet of Things (IoT) in Banking and Finance Services Chapter 6. Artificial Intelligence (AI) and Data Analytics: A New Era in the Financial Industry Chapter 7. The Prospects for Applications of Quantum Computing in the Financial Sector Chapter 8. Opportunities and Challenges of Artificial Intelligence (AI) in the Banking and Finance Sector Chapter 9. Technology Transformation Impact on Digital Banking Services Chapter 10. Evolution of FinTech and Implications for Traditional Banking and Finance Sector Chapter 11. Driving Digital Payments the Transformative Impact of Electronic Fund Transfers Chapter 12. Robotic Process Automation (RPA): A Streamlining Advancement for Banking and Finance Sector Chapter 13. How Traditional Banks Adapt to the Fintech Revolution in Banking and Finance Sector Chapter 14. Federated Learning for Enhanced Cloud-based Cybersecurity in Banking and Finance Services Chapter 15. Artificial Intelligence Technology Based Approach in Banking Compliance Supervision Chapter 16. Enhancing Customer Satisfaction through Alternative Channel Services in the Banking Industry Chapter 17. Navigating the Digital Realm Identifying Trends & Opportunities in E-Banking Services Chapter 18. Role of Edge Technologies and Applications in Banking and Finance Industry Chapter 19. Analysis of Internet of Things (IoT) Applications in the Banking Industry Chapter 20. The Impact of Artificial Intelligence (AI) Transformation on the Financial Sector from the Trading to Security Operations Chapter 21. Prioritizing Customer Experience in Digital Banking for Nation's Sustainable Development Chapter 22. The Influence of E-Banking Services on Customer Satisfaction of Banks Chapter 23. How Human Resource Shapes Success in Financial Institutions and Services Chapter 24. The Impact of Artificial Intelligence (AI) Transformation in Financial Sector Chapter 25: An Approach of Modified RSA for Enhanced Security of Data Transformation in Mobile Banking Chapter 26. Teaching Materials for Banking and Financial Learners Using the Artificial General Internet of Things (AGIoT)
