
Computational Intelligence for Autonomous Finance
- English
- PDF
- Available on iOS & Android
Computational Intelligence for Autonomous Finance
About this book
Computational Intelligence for Autonomous Finance recognizes a new age of automatic civilization. The book is a seminal exploration of the dynamic domain of finances and banking. Designed to navigate the intricate interplay between emerging technologies and financial services, this book addresses both the profound opportunities and the intricate challenges that lie ahead. The genesis of this book lies in recognizing the new age of automatic civilization. Not only does it suit academic needs, but this book aims to inspire a new generation of practitioners to embrace the challenges and opportunities presented by autonomous finance.
Each chapter provides a unique lens for the potential of computational intelligence to revolutionize the market. The first section of this book talks about the transformative potential of computational intelligence in finance. The book systematically unfolds the multifaceted aspects of the revolution and provides insights into cutting-edge technologies that shape stock market strategies. In subsequent chapters, the book expands on its exploration of AI and the fintech industry. Delve into discussions of the ongoing evolution of financial technologies. The narrative then shifts towards more specialized applications of AI and ML in finance, with chapters dedicated to autonomous finance in microfinance along with the use of machine learning algorithms.
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Information
Table of contents
- Cover
- Series Page
- Title Page
- Copyright Page
- Contents
- Preface
- Chapter 1 The Role of Autonomous Finance in the Era of Automatic Civilization
- Chapter 2 Analyzing the Latest Tools and Techniques for Stock Market Analysis
- Chapter 3 Challenges and Security Issues in Autonomous Finance
- Chapter 4 Involvement of Artificial Intelligence in Emerging Fintech Industry 4.0: A TCCM Framework
- Chapter 5 Robotic Process Automation in the Financial Sector
- Chapter 6 Integration of Fintech with Data Science (DS) and Artificial Intelligence (AI): A Challenging Footstep
- Chapter 7 Evaluation of Fintech: The Techno-Functional Application in Digital Banking
- Chapter 8 Real-Time Data Visualization and Autonomous Finance: Uses of Emerging Technologies
- Chapter 9 AI and ML Modeling and Autonomous Finance in Microfinance: An Overview
- Chapter 10 Application of Machine Learning Models in the Field of Autonomous Finance
- Chapter 11 Machine Learning Algorithm in Indian Stock Market for Revising and Refining the Equity Valuation Models
- Chapter 12 Hyper Automation and its Applicability in Automation Finance
- Chapter 13 Pre- and Post-COVID Autonomous Finance: Global Perspective
- Chapter 14 Emerging Trends and Future Directions in Artificial Intelligence for Next-Generation Computing
- Index
- EULA