Foundations of Artificial Intelligence in Finance : Insights for Practitioners with Applications and Case Studies (Ai Applications and Case Studies for Business)

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Foundations of Artificial Intelligence in Finance : Insights for Practitioners with Applications and Case Studies (Ai Applications and Case Studies for Business)

  • ウェブストア価格 ¥18,174(本体¥16,522)
  • CRC Press(2026/02発売)
  • 外貨定価 US$ 89.99
  • 読書週間 ポイント2倍キャンペーン 対象商品(~11/9)
  • ポイント 330pt
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  • 製本 Paperback:紙装版/ペーパーバック版/ページ数 248 p.
  • 言語 ENG
  • 商品コード 9781041007876

Full Description

This book discusses the financial impact of Artificial Intelligence (AI) on the finance and business sectors. By providing readers with comprehensive insights, real-world case studies, and expert discussions, it delves into various applications of AI in finance, including NLP for financial document analysis, predictive analytics, explainable AI, and blockchain integration. Covering a range of topics, from simplifying financial documents to predicting stock market trends and ensuring ethical investing, this book is crucial to effectively bridge the gap between technical AI concepts and practical applications, making it suitable for both specialists and non-specialists.

• In-depth discussions focus on the potential impact of AI on sustainable investments, exploring how these technologies may shape the future of finance.

• Emphasises the ethical implications of AI in finance, addressing the responsible use of these technologies and the importance of regulatory compliance.

• Each chapter includes practical case studies that illustrate the effective use of AI in the financial industry, providing readers with relatable insights into its applications.

• Aids non-specialists in comprehending complex AI concepts and demonstrates how AI can act as a smart assistant in solving intricate financial & business problems.

• Leverage AI for informed decision-making, risk management, and sustainable investments, making it a pivotal reference for navigating the rapidly evolving financial landscape.

The book is for professionals, data scientists, investors, policymakers, and anyone interested in understanding how AI can transform financial practices.

Contents

1. Introduction to AI in Finance: Foundational Concepts and Emerging Challenges 2. Framework for Responsible AI Adoption in Fintech 3. Exploring Explainable AI (XAI): Implications for Transparency in Financial Decision Making 4. Implementing Robotic Process Automation (RPA) for Financial Operations 5. Leveraging Natural Language Processing (NLP) in Financial Customer Service: Enhancing User Experience 6. Advanced NLP for Financial Document Analysis: Tools and Techniques 7. Predictive Analytics and AI in Credit Scoring: Transforming Lending Practices 8. AI-Driven Fraud Detection and Prevention Strategies 9. AI in Sustainable Finance and ESG Analysis: A Practical Guide 10. An African Perspective on Artificial Intelligence and Climate Finance 11. AI in Sustainable Risk Management and Compliance 12. Exploring the Influence of Gold Prices on Forex Rates, Equity Index, and Crude oil Amidst Disruptions: A Comparative Analysis of Machine Learning and Deep Learning Approach 13. Intelligent Robo-advisors and Personalized Financial Planning 14. AI in Algorithmic Trading and Investment Strategies 15. Deep Learning in Stock Forecasting and Market Predictions 16. AI Applications for Anti-Money Laundering and Compliance in Financial Institutions 17. Ethical Considerations for AI in Financial Services 18. Artificial Intelligence in Healthcare Finance: Developing Sustainable Financial Models 19. Blockchain and AI in Finance: Synergies for a Digital Economy 20. AI-Driven Socially Responsible Investing: Tools for Impact Measurement 21. Financial Management and AI: A New Dawn for Companies 22. Case Studies and Future Directions for AI in Finance