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Titlebook: Artificial Intelligence, Finance, and Sustainability; Economic, Ecological Thomas Walker,Dieter Gramlich,Akram Sadati Book 2024 The Editor(

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發(fā)表于 2025-3-21 18:11:41 | 只看該作者 |倒序?yàn)g覽 |閱讀模式
期刊全稱Artificial Intelligence, Finance, and Sustainability
期刊簡(jiǎn)稱Economic, Ecological
影響因子2023Thomas Walker,Dieter Gramlich,Akram Sadati
視頻videohttp://file.papertrans.cn/168/167608/167608.mp4
發(fā)行地址Offers a comprehensive and integrated perspective on how AI, finance, and sustainability are increasingly intertwined.Discusses the ethical and social implications of AI in finance and its potential f
圖書封面Titlebook: Artificial Intelligence, Finance, and Sustainability; Economic, Ecological Thomas Walker,Dieter Gramlich,Akram Sadati Book 2024 The Editor(
影響因子.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, pol
Pindex Book 2024
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發(fā)表于 2025-3-21 23:17:26 | 只看該作者
Artificial Intelligence, Finance, and SustainabilityEconomic, Ecological
板凳
發(fā)表于 2025-3-22 03:44:52 | 只看該作者
Artificial Intelligence, Finance, and Sustainability978-3-031-66205-8
地板
發(fā)表于 2025-3-22 08:25:12 | 只看該作者
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發(fā)表于 2025-3-22 11:56:24 | 只看該作者
Artificial Intelligence, Finance, and Sustainability: An Overviewlearning are shaping the approach of finance professionals toward environmental, social, and governance (ESG) issues. This introductory chapter reviews the relevant context and discusses the importance of the convergence between AI, sustainability, and finance. In addition, it provides an overview o
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發(fā)表于 2025-3-22 16:27:21 | 只看該作者
A Panoramic Overview of the Opportunities and Challenges Artificial Intelligence Brings to ESG Investernal climate change initiatives, among other things. The . viewpoint addresses how to optimize human resource deployment, candidate experience, and customized employee pension plans. The . standpoint considers how AI might help improve governance and transparency by automating daily processes, det
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發(fā)表于 2025-3-22 20:21:43 | 只看該作者
Measuring Sustainability with AI findings leveraging such measures. We present in detail an application of large language models (LLMs) in classifying specific versus general corporate ESG discussions. Finally, we discuss potential avenues for future research within this domain.
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發(fā)表于 2025-3-23 00:38:45 | 只看該作者
Enhancing Sustainable Finance Advisory and Literacy Through AI-Based Personalizationr both organizations and policymakers. Second, the current literature focuses predominantly on investors as individual stakeholders, while ignoring other roles such as analysts, policymakers, academics, and the general public. We believe that a systematic study of how SF-related knowledge can be del
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發(fā)表于 2025-3-23 03:40:22 | 只看該作者
The Future of Sustainable Finance: AI-Driven Sustainable Pairs Trading in Market-Neutral Investingenerating profits while adhering to ethical and environmental considerations. This chapter provides an overview of pairs trading, encompassing both established practices and recent developments, with a focus on emerging trends such as artificial intelligence (AI) and machine learning (ML). While the
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發(fā)表于 2025-3-23 08:07:58 | 只看該作者
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