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Pas encore paru. Cet article sera disponible le 31.01.2025
Auteur
Dr. Alex Khang is a professor in information technology at the Universities of Science and Technology in Vietnam, and the United States; IT Workforce Development Consultant for High-tech Corporations in the USA and Vietnam; AI and data scientist, software industry expert, and the chief of technology officer (AI and Data Science Research Center) at the Global Research Institute of Technology and Engineering, North Carolina, United States. He has more than 28 years of teaching and research experience in information technology (Software Development, Database Technology, AI Engineering, Data Engineering, Data Science, Data Analytics, IoT-based Technologies, and Cloud Computing) at the Universities of Science and Technology in Vietnam, India, and the USA.
He has been the chair session for 20 conferences, keynote speaker for more than 25 international conclaves; an expert tech speaker for 100 seminars and webinars; an international technical board member for 10 international organizations; an editorial board member for more than 5 ISSNs; an international reviewer and evaluator for more than 100 journal papers; an international examiner and evaluator for more than 15 PhD. theses in the computer science field
Texte du rabat
The book explores the importance of 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.
Contenu
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)