| Description |
1 online resource (183 p.) |
| Contents |
Intro -- Half Title -- Title Page -- Copyright Page -- Contents -- Preface -- About the Editors -- Contributors -- CHAPTER 1. Artificial Intelligence in the Financial Services Industry -- 1.1 Introduction -- 1.2 Artificial Intelligence -- 1.2.1 Types of AI -- 1.2.2 Subcategories of AI -- 1.3 Applications of AI in Financial Services -- 1.3.1 Robo-Advisory -- 1.3.2 Predictions -- 1.3.3 Fintech -- 1.3.4 Risk Management -- 1.3.5 Chatbot Technology -- 1.3.6 Ethical AI -- 1.3.7 Bank Lending Operations -- 1.3.8 Credit Scoring -- 1.3.9 Debt Collection -- 1.3.10 Regulatory Compliance |
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1.3.11 Personalized Banking -- 1.3.12 Cybersecurity -- 1.4 Issues with AI in the Finance Industry -- 1.4.1 Impact on Trading Based on Algorithms -- 1.4.2 Assuring ""Data Privacy"" and ""Information Security -- 1.4.3 Assuring ""Governance"" and ""Trust -- 1.4.4 Risk of Relevant Laws and Regulations -- 1.4.5 Risk of Data Acquisition, and Leakage -- 1.4.6 Security Risks -- 1.5 Future Trends of AI in Finance -- 1.5.1 Use of Synthetic Data -- 1.5.2 Creating AI Legislation and Regulations -- 1.5.3 Increasing the Effectiveness of Financial Market Risk Mitigation -- 1.6 Conclusion -- Acknowledgement |
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Notes -- References -- CHAPTER 2. Machine Learning and Big Data in Finance Services -- 2.1 Introduction -- 2.2 Big Data Characteristics and Current Works in the Finance Services -- 2.2.1 Data Management -- 2.2.2 Big Data Characteristics -- 2.2.3 Big Data Processing -- 2.2.4 Big Data and Financial Applications -- 2.3 Machine Learning -- 2.3.1 Definition and Characteristics -- 2.3.2 ML Types -- 2.3.2.1 Supervised Learning -- 2.3.2.2 Unsupervised Learning -- 2.3.2.3 Semi-supervised Learning -- 2.3.2.4 Reinforcement Learning -- 2.3.3 ML in Finance Services -- 2.3.3.1 Financial Monitoring Systems |
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2.3.3.2 Investment Prediction Systems -- 2.3.3.3 Process Automation Systems -- 2.3.3.4 Transaction Analysis and Fraud Detection Solutions -- 2.3.3.5 Financial Advisory Solutions -- 2.3.3.6 Credit Scoring Solutions -- 2.3.3.7 Customer Service Solutions -- 2.3.3.8 Marketing Solutions -- 2.3.3.9 Customer Sentiment Analysis Solutions -- 2.3.3.10 Algorithmic Trading System -- 2.4 Challenges for the Integration of Big Data and ML in Finance Services -- 2.5 Conclusion -- References -- CHAPTER 3. Artificial Intelligence in Financial Services: Advantages and Disadvantages -- 3.1 Introduction |
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3.2 Overview of AI -- 3.3 AI Applications in the Financial Sector -- 3.3.1 AI and Customer Services and Support -- 3.3.2 AI and Bank Failure Prediction -- 3.3.3 AI and Financial Inclusion -- 3.3.4 AI and Credit Risk Management -- 3.4 Advantages and Disadvantages of AI Applications in the Financial Sector -- 3.4.1 Advantages of AI Applications in the Banking Sector -- 3.4.2 Disadvantages of AI Applications in the Banking Sector -- 3.5 Summary and Recommendations -- References -- CHAPTER 4. Upscaling Profits in Financial Market -- 4.1 Introduction -- 4.2 Literature Review |
| Notes |
Description based upon print version of record |
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4.3 Proposed Methodology |
| Form |
Electronic book
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| Author |
K, Hemachandran
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El-Chaarani, Hani
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Moturi, Sairam
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Gupta, Neha
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| ISBN |
9781000867626 |
|
1000867625 |
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