Theory and application of artificial intelligence in financial industry

IF 2.8
Yuxin Li, Jizheng Yi, Huanyu Chen, Duanxiang Peng
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引用次数: 4

Abstract

: Artificial Intelligence (AI) is deemed to be the commanding point of science and technology in the next era. In recent years, with the enhancement of computer computing power, the improvement of the quantity and quality of big data, and the important breakthroughs in many research fields such as machine learning and speech recognition, AI technology has developed rapidly and has been widely used in all walks of life. In the financial industry, the application of AI technology in risk control, marketing, customer service, transaction, operation, and product optimization of financial institutions is becoming increasingly mature, and some new business models have been created. Starting from the application status and significance of AI in the international financial field, this paper expounds on the application, status quo, and development trend of AI in the financial industry. Then, in view of the risks and practical challenges existing in the development process of AI, based on the reality of international financial development, this paper summarizes the measures to promote the in-depth, healthy, and sustainable development of AI in the financial market. This paper aims to let readers understand the development status of AI in the financial field, and also provide theoretical reference for scholars in this field.
人工智能在金融业中的理论与应用
当前位置人工智能(AI)被认为是下一个时代科学技术的制高点。近年来,随着计算机计算能力的增强,大数据数量和质量的提高,以及机器学习、语音识别等诸多研究领域的重要突破,人工智能技术发展迅速,已广泛应用于各行各业。在金融行业,人工智能技术在金融机构风控、营销、客服、交易、运营、产品优化等方面的应用日趋成熟,并创造了一些新的商业模式。本文从人工智能在国际金融领域的应用现状和意义出发,阐述了人工智能在金融行业的应用、现状和发展趋势。然后,针对人工智能发展过程中存在的风险和现实挑战,结合国际金融发展的实际,总结出促进人工智能在金融市场深入、健康、可持续发展的措施。本文旨在让读者了解人工智能在金融领域的发展现状,也为该领域的学者提供理论参考。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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