金融服务领域人工智能的外部技术背景

Adriana Duțescu, M. Mihai
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引用次数: 0

摘要

本研究的目的是更好地了解人工智能应用于金融服务的外部技术背景,以及数字化、自动化、云计算和许可等其他技术解决方案。作者通过分析以 CAEN 代码 620--信息技术服务活动公司为代表的技术提供商,研究了外部技术背景。这项研究的目的是获得并分析以下六个研究问题的答案:服务提供商的作用是什么、他们与人工智能一起提供的其他技术有哪些、如何有效实施这项技术、用户参与应用程序开发的情况如何、是否会有专门的培训以及人工智能在金融服务中的实施水平如何。作者发现,被调查公司往往只为银行、金融科技公司和大型金融公司提供技术服务。因此,对于中小型公司来说,本研究中的服务提供商并不适合,应在这方面开展进一步研究。研究中出现了一个有趣的结果,即技术公司与金融公司之间建立了长期合作关系,以改进解决方案并提供必要的维护服务,直到解决方案提供接近 100% 准确率的结果。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
The External Technological Context of Artificial Intelligence in Financial Services
The purpose of this research is to improve the understanding of the external technological context of Artificial Intelligence applied in financial services, together with other technological solutions such as digitization, automation, cloud computing and licensing. The authors studied the external technological context by analyzing the technology providers that are represented by the companies with CAEN code 620 – Service activities in information technology. The purpose of this study was to obtain and analyze answers to six research questions, as follows: what is the role of service providers, what are the other technologies offered by them together with Artificial Intelligence, how can this technology be effectively implemented, what is the involvement users in application development, if there will be specific training and what is the level of implementation of Artificial Intelligence in financial services. The authors found that often the investigated companies use their technology services only for banks, Fintech and large financial companies. Therefore, for small and medium-sized companies, the service providers included in the study are not suitable, and further research should be carried out in this regard. An interesting result emerged from the study of long-term relationships between the technology company and the financial company to improve the solutions and provide the necessary maintenance services until the solutions provide results with close to 100% accuracy.
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