Applications of Artificial Intelligence in Business and Finance: Modern Trends - Couverture rigide

Couverture rigide

ISBN 10 : 1771889683 ISBN 13 : 9781771889681

Editeur : Apple Academic Press Inc., 2021

Synopsis

<p>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.</p>

A propos du livre

À propos de l'auteur

Vikas Garg, PhD, is the Director of 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 is a lifetime member of the Indian Commerce Association, Indian Accounting Association, and Indian Management Association. He is certified in Customer Relationship Management from the Indian Institute of Management Bangalore, India. 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. He is associated with several universities as an external guide for research scholars and has conducted many workshops at institutions.

Shalini Aggarwal, PhD, is working at Chandigarh University, Ajitgarh, India, as an Associate Professor. She has a working experience of more than 18 years. She has presented various papers at conferences, including those at the Indian Institutes of Management at Lucknow, Bangalore, Shillong, and Kashipur, and has published 24 papers and four case studies, several of which have been indexed in Scopus and and Australian Business Deans Council (ABDC) listed journals. She was selected as a reviewer of the Emerald journal Journal of Financial Economic Policy and has reviewed around 30 papers. Recently Dr. Aggarwal has been appointed as a member of the Technical Program Committee (TPC) of AF 2019 for the 9th Annual International Conference on Accounting and Finance (AF 2019) from 15Ð16 July, Singapore. She was also appointed as the guest editor of a special session entitled “Green IT and ” of the International Conference on Innovative Computing and Communication (ICICCÐ2019), organized by Technical University of Ostrava, Czech Republic. Many researchers are doing research under her guidance. She also completed one minor research project entitled “Impact of Self Help Groups on Social, Economic and Political Empowerment of Women: A Case of Ghaziabad District,” financed by the Institute of Management Studies, Ghaziabad, India. Dr. Aggarwal’s degrees include an MBA, PhD, and MSc in Computer Science.

Pooja Tiwari, PhD, is a faculty member at ABES Engineering College, Ghaziabad, India. She has over 12 years of experience in teaching and research and 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, conferences, and organizing workshops. Her area of interests is human resource management, cross-cultural management, etc. She is an active member of various professional bodies and also a member of editorial boards of many international journals.

Prasenjit Chatterjee, PhD, is currently working as an Associate Professor of Mechanical Engineering Department at MCKV Institute of Engineering, India. He has over 80 research papers in various international journals and peer-reviewed conferences. He has received numerous awards, including a Best Track Paper Award, Outstanding Reviewer Award, Best Paper Award, Bright Researcher Award, Outstanding Researcher Award, and University Gold Medal. He is the guest editor of several special issues in several Scopus-indexed journals and Emerging Sources Citation Index (Clarivate Analytics) journals. He is currently editing and authoring books on decision-making approaches and sustainability. He is the Lead Series Editor of International Perspectives on Decision Analysis and Operations Research book series (Emerald Group Publishing) AAP Research Notes on Optimization and Decision-Making Theories (Apple Academic Press); and Frontiers of Mechanical and Industrial Engineering (Apple Academic Press). Dr. Chatterjee is one of the developers of a new multiple-criteria decision-making method called “Measurement of Alternatives and Ranking according to COmpromise Solution” (MARCOS).

À propos de la quatrième de couverture

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.

Détails de l'édition

• Éditeur: Apple Academic Press Inc.
• Date d'édition: 2021
• Langue: anglais
• ISBN 10: 1771889683
• ISBN 13: 9781771889681
• Reliure: Relié
• Nombre de pages: 337
• Éditeur: Garg Vikas, Aggawal Shalini, Tiwari Pooja, Chatterjee Prasenjit
• Coordonnées du fabricant: non disponible
• Personne responsable: non disponible