Artificial Intelligence, Finance, and Sustainability by Walker, Thomas; Gramlich, Dieter; Sadati, Akram;

Economic, Ecological, and Ethical Implications

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Kiadói listaár EUR 192.59
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70 291 Ft

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A termék adatai:

Kiadás sorszáma 2024
Kiadó Springer Nature Switzerland
Megjelenés dátuma 2024. szeptember 28.
Kötetek száma 1 pieces, Book

ISBN 9783031662041
Kötéstípus Keménykötés
Terjedelem309 oldal
Méret 210x148 mm
Nyelv angol
Illusztrációk XX, 309 p. 23 illus., 17 illus. in color. Illustrations, black & white

Kategóriák

Operációs rendszerek és grafikus felhasználói felületek Mesterséges intelligencia Menedzsment, vállalatirányítás Pénzügy, befektetés Vállalkozások általában Környezetvédelem Környezettudomány általában

Hosszú leírás:

As the world increasingly recognizes the importance of sustainability, businesses and investors are looking for ways to integrate sustainable practices into their operations and investment decisions. At the same time, advancements in artificial intelligence (AI) and technology are transforming the finance industry and are enabling more data-driven decision-making. The intersection of these fields presents a significant opportunity to accelerate progress towards a more sustainable future, while also improving financial performance.

This book explores the crucial role of AI in sustainability and finance, examining how financial technologies and machine learning are shaping the approach of finance professionals towards environmental, social, and governance (ESG) issues. It provides a comprehensive and integrated perspective on how these areas are becoming increasingly intertwined and examines the ethical and social implications of AI in finance and its potential to unlock new opportunities for sustainability. By focusing on the practical implications of these intersections and including both case studies and expert analysis, the book provides valuable insights for practitioners, policymakers, academics, and students alike.

Több

Tartalomjegyzék:

INTRODUCTION.- Chapter 1: Artificial Intelligence, Finance, and Sustainability: An Overview.- PART 1: CONCEPTUAL (INTEGRATIVE) FRAMEWORKS.- Chapter 2: A Panoramic Overview of the Opportunities and Challenges Artificial Intelligence Brings to ESG Investing.- Chapter 3: Measuring Sustainability with Artificial Intelligence.- Chapter 4: Enhancing Sustainable Finance Advisory and Literacy through AI-based Personalization.- Chapter 5: Artificial Intelligence to Advance Sustainability: A Review of Progress.- Chapter 6: The Future of Sustainable Finance: AI-Driven Sustainable Pairs Trading in Market-Neutral Investing.- PART II: CLIMATE AND ENERGY.- Chapter 7: Predicting Carbon Emissions with Explainable Machine Learning Models: Applications for Chinese Provinces.- Chapter 8: Assessing Physical Climate Risks: An AI-Powered Tool for Businesses.- Chapter 9: The Role of Artificial Intelligence in Energy Efficiency and Finance.- PART III: REPORTING AND REGULATION.- Chapter 10: Enhancing the Issuance and Monitoring of Sustainable Finance Instruments through Artificial Intelligence.- Chapter 11: The Law of Fintech: How Artificial Intelligence and Innovative Technologies Contribute to a Sustainable Financial Industry and Its Effective Regulation.- Chapter 12: Corporate Digital Responsibility for Artificial Intelligence: Towards a Disclosure Framework.- Chapter 13: The Implications of Adopting Artificial Intelligence in the Auditing Process.