Call for Chapters in Edited Book with ISBN on the Topic

Artificial Intelligence in Modern Corporate Finance and Investment Models explores how AI-driven technologies are transforming decision-making, risk assessment, and portfolio management in today’s dynamic financial landscape. Combining theoretical insights with practical case studies, the book examines applications such as predictive analytics, algorithmic trading, credit scoring, fraud detection, and automated investment strategies. It also addresses the challenges of data ethics, regulatory compliance, and model transparency, offering a balanced perspective for both practitioners and academics. Designed for finance professionals, researchers, and students, this work serves as a comprehensive guide to understanding and leveraging AI tools for strategic advantage in corporate finance and investment.

  • Artificial Intelligence in Modern Finance: Redefining Strategies and Operations
  • Machine Learning in Banking: Enhancing Customer Experience and Risk Management
  • InsurTech Innovations: AI and ML Applications in the Insurance Sector
  • AI-Powered Marketing in Financial Ecosystems: Personalization and Predictive Insights
  • Transforming Financial Services through Automation and Intelligent Algorithms
  • FinTech Evolution: AI and ML in Startups, Lending Platforms and WealthTech
  • Inclusive Finance through AI: Reaching the Unbanked and Underbanked
  • Ethical and Regulatory Dimensions of AI in Finance and Commerce
  • AI-Driven Decision-Making: Impacts on Corporate Finance and Investment Models
  • Future Trends: Quantum AI, Blockchain Synergies and the Next Frontier in FinTech

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Call for Chapter on Artificial Intelligence in Modern Corporate Finance and Investment Models