金融技术决策支持系统

Alper Pahsa
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引用次数: 0

摘要

金融科技行业是最早也是最成功地将基于大数据的机器学习算法与人工智能技术相结合的行业。决策支持系统(DSS)程序的使用将以最快捷和最具成本效益的方式提供金融产品、服务渠道、服务方法和风险管理。智能人工智能(AI)和机器学习(ML)技术的创造性快速发展,对所有决策过程都产生了重大影响,从而推动了深度服务价值链的高端金融发展。本研究介绍了数字服务,包括金融服务运营中使用的 DSS 程序。然后,演示了 DSS 方法以及人工智能和 ML 的基本原理,并提供了一个用于重新安排偿还税款的活动管理系统的应用实例。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Financial technology decision support systems
The financial technology industry was the first and most successful to combine machine learning algorithms based on big data with artificial intelligence techniques. The use of decision support systems (DSSs) procedures will deliver financial products, service channels, service methodologies, and risk management in the quickest and most cost-efficient manners. The deep service value chain’s high-end finance was significantly impacted by the inventive and quick development of smart artificial intelligence (AI) and machine learning (ML) techniques brought about by all of the decision-making processes. This study presents digital services, including DSS procedures utilized in financial service operations. The fundamentals of DSS approaches, as well as AI and ML, are then demonstrated, and an example application of a campaign management system for tax repayment rescheduling is provided.
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