Applications of Artificial Intelligence in Business and Finance

Modern Trends
1. Auflage 2021
ISBN: 978-1-77188-968-1
Verlag: Taylor & Francis Ltd (Sales)

Buch, Englisch, 272 Seiten, Format (B × H): 156 mm x 234 mm, Gewicht: 558 g

As transactions and other business functions move online and grow more popular every year, the finance and banking industries face increasingly complex data management and identity theft and fraud issues. AI can bring many financial and business functions to the next level, as systems using deep learning technologies are able to analyze patterns and spot suspicious behavior and potential fraud. In this volume, the focus is on the application of artificial intelligence in finance, business, and related areas. The book presents a selection of chapters presenting cutting-edge research on current business practices in finance and management. Topics cover the use of AI in e-commerce systems, financial services, fraud prevention, identifying loan-eligible customers, online business, Facebook social commerce, insurance industry, online marketing, and more.

Autoren/Hrsg.

Garg, Vikas

Aggarwal, Shalini

Tiwari, Pooja

Chatterjee, Prasenjit

Fachgebiete

• Naturwissenschaften Biowissenschaften Biowissenschaften
• Mathematik | Informatik EDV | Informatik Programmierung | Softwareentwicklung Software Engineering
• Wirtschaftswissenschaften Betriebswirtschaft Management Wissensmanagement
• Mathematik | Informatik EDV | Informatik Informatik Künstliche Intelligenz Mustererkennung, Biometrik
• Mathematik | Informatik EDV | Informatik Informatik Künstliche Intelligenz Computer Vision
• Mathematik | Informatik EDV | Informatik EDV & Informatik Allgemein

Inhaltsverzeichnis

1. Impact of AI on e-commerce 2. Artificial Intelligence: A New Driver for Managing Customers in e-commerce Smartly 3. F-Commerce as a Tool of Artificial Intelligence: A Modern Approach for Promoting Startups 4. Sectorial Impacts of Artificial Intelligence 5. Revolution Through Artificial Intelligence in Context to Financial Services 6. Artificial Intelligence Techniques of Fraud Prevention 7. A Case Study on Developing an End-to-End Solution to Identify Loan Eligible Customers and Assigning Them Credit Lines Based on Their Predicted Income 8. Artificial Intelligence: A Boon for Online Business 9. The Driving Forces of Facebook Social Commerce 10. Artificial Intelligence in Green Accounting 11. Impact of Artificial Intelligence on the Insurance Industry 12. Impact of Artificial Intelligence in Changing Trends of Marketing

Über Autor(innen)

Vikas Garg, PhD, is Director of the Executive Programs Management Domain at Amity University Uttar Pradesh, Greater Noida Campus, India. He is UGC NET qualified with 15 years of academic experience. His areas of specialization are accounting and finance, and his major interests are in financial markets, financial reporting, and analysis. He has published numerous research papers in various Scopus- and ABDC-indexed international and national journals. He holds many copyrights and patents and has organized many national and international conferences.

Shalini Aggarwal, PhD, is Associate Professor at Chandigarh University, Ajitgarh, India. With more than 18 years of working experience, she has presented at conferences and published papers and case studies. She is a reviewer for the Journal of Financial Economic Policy and a member of the Technical Program Committee of the 9th Annual International Conference on Accounting and Finance. She was the guest editor of a special session titled “Green IT and Sustainability” of the International Conference on Innovative Computing and Communication.

Pooja Tiwari, PhD, is a faculty member at ABES Engineering College, Ghaziabad, India. She has over 12 years of experience in teaching and research as well as industrial experience in production. She has many national and international publications to her credit, including papers in Scopus-indexed journals. She takes an active part in seminars and conferences and in organizing workshops. Her areas of interest are human resource management, cross-cultural management, and related areas.

Prasenjit Chatterjee, PhD, is Associate Professor of the Mechanical Engineering Department at MCKV Institute of Engineering, India. He has published over 80 research papers in international journals and conferences. He has received numerous awards and is a guest editor of several special issues in international journals. Dr. Chatterjee is the editor of several book series, including International Perspectives on Decision Analysis and Operations Research, AAP Research Notes on Optimization and Decision-Making Theories, and Frontiers of Mechanical and Industrial Engineering.