金融领域的人工智能:综述

Longbing Cao
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引用次数: 31

摘要

最近人工智能在金融科技领域的蓬勃发展证明了人工智能在智能金融科技、经济、金融和社会方面的重大发展和潜力。在人工智能、数据科学、经济、金融以及其他相关研究学科和商业领域,智能金融科技已经成为一个性感且日益重要的领域。这一趋势是建立在人工智能在金融领域的悠久历史之上的,新一代人工智能、数据科学和机器学习正在从根本上无缝地改变经济和金融的愿景、使命、目标、范式、理论、方法、工具和社会方面,并推动智能金融科技。人工智能正在推动更个性化、更先进、更好、更安全、更新的主流和替代经济金融机制、产品、模式、服务、系统和应用。本文总结了人工智能在金融领域的研究成果,重点构建了人工智能在新一代金融科技和金融领域的作用、研究方向和机遇的全面、多维、经济金融问题驱动的研究格局。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
AI in Finance: A Review
The recent booming of AI in FinTech evidences the significant developments and potential of AI for making smart FinTech, economy, finance and society. AI-empowered smart FinTech has emerged as a sexy and increasingly critical area in AI, data science, economics, finance, and other relevant research disciplines and business domains. This trend was built on the long history of AI in finance, and the new-generation AI, data science and machine learning are fundamentally and seamlessly transforming the vision, missions, objectives, paradigms, theories, approaches, tools and social aspects of economics and finance and driving smart FinTech. AI is empowering more personalized and advanced and better, safer and newer mainstream and alternative economic-financial mechanisms, products, models, services, systems, and applications. This review summarizes the lasting research on AI in finance and focuses on creating a comprehensive, multidimensional and economic-financial problem-driven research landscape of the roles, research directions and opportunities of AI in new-generation FinTech and finance.
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