Название: Applications of Artificial Intelligence in Business and Finance: Modern TrendsАвтор: Vikas Garg (PhD), Shalini Aggarwal (PhD), Pooja Tiwari (PhD)
Издательство: Apple Academic Press/CRC Press
Год: 2022
Страниц: 272
Язык: английский
Формат: pdf (true)
Размер: 11.5 MB
In the current competitive and technology-driven world, Artificial Intelligence (AI) has emerged as growing technology that is applicable to many fields. 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, Applications of Artificial Intelligence in Business and Finance: Modern Trends, 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.
AI is used in every walk of life. It has transformed the way people used to assimilate information, analyze data, and make decisions. Various financial companies, media companies, and insurance companies are finding a way to use AI to simplify operations. The big giants like Apple, Google, and Amazon invest huge amount of money to incorporate AI into their business to gain maximum benefit.
The financial crimes which are committed by the fraudsters using technological tools are called cyber crimes. The most common types of cyber crimes committed worldwide are:
1. Hacking: It involves illegal intrusion into the computer system without permission, consent, or knowledge of the owner, e.g., virus dissemination, e-mail hack, etc.
2. Phishing: It involves a criminally fraudulent activity that aims at acquiring sensitive and personal information such as username, password, and credit card and debit card details, including CVV. For example, creating a fake website replica of an original and trusted website and stealing sensitive information.
3. Keystroke Logger: It is a fraudulent activity that logs and records the patterns of key strike without the knowledge of the user. Hence the patterns of username, passwords, and other sensitive information can be stolen.
4. Vishing: It is the most commonly used fraudulent activity these days, whereby the bank customers are contacted by e-mail or phone calls and are asked to share their account-related sensitive information. Though many financial institutions are creating awareness to curb such malpractices, the desired results do not seem to be satisfactory.
5. Spyware: It is malicious software (malware) which spies on sensitive information without being easily detected.
Topics cover the impact and application of AI on many diverse areas in finance and business, including e-commerce systems, financial services, fraud prevention, identifying loan-eligible customers, online business, Facebook social commerce, insurance industry, online marketing, and more.
This book will be quite useful for people in the field of management and also for the people in the domain of technology. Due to its coverage, it is quite useful for students and professionals in the area of AI.
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