Artificial intelligence and machine learning in finance: Addressing complex problems and ESG applications
Publishing House Virtus Interpress releases a book titled "Artificial intelligence and machine learning in finance: Addressing complex problems and ESG applications" that sheds light on the transformative potential of artificial intelligence (AI) and machine learning (ML) in finance, providing readers with the knowledge and tools to navigate the future of this rapidly evolving field.
- ISBN: 978-617-7309-34-4
- DOI: 10.22495/aimlfacpea
- Author: Annalisa Ferrari
- Number of pages: 105
- Published: 2025
- Cover: ebook
How to cite: Ferrari, A. (2025). Artificial intelligence and machine learning in finance: Addressing complex problems and ESG applications. Virtus Interpress. https://doi.org/10.22495/aimlfacpea
This work is licensed under a Creative Commons Attribution 4.0 International License.
Synopsis: The book "Artificial intelligence and machine learning in finance: Addressing complex problems and ESG applications" outlines the core methodologies and technological enablers that power AI systems in finance, explores their applications in areas such as forecasting, trading, portfolio construction, fraud detection, credit evaluation, and sustainable finance, and discusses the ethical, regulatory, and methodological challenges that will shape the future of AI-driven financial ecosystems.
The book consists of four chapters. Chapter 1 provides the technical foundation of financial AI systems, laying the groundwork for understanding the complex methodologies involved. Chapter 2 delves into predictive modeling and risk-oriented applications, exploring how AI and ML are used to address real-world challenges in finance. In Chapter 3, the focus shifts to AI’s role in financial strategies, including market behavior and the integration of ESG principles. Finally, Chapter 4 tackles open challenges and emerging trends in the field, including explainable AI and new paradigms in ethical ML. The conclusion synthesizes key insights and offers strategic recommendations for investors, policymakers, and researchers.
Contents Introduction Complete PDF file of the book
