Digital Transformation of Financial Services using Artificial Intelligence, Machine Learning, and Cloud Computing

Prudhvi Parne
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引用次数: 1

Abstract

Digital disruption is redefining industries and changing the way business function. Artificial Intelligence is the future of banking as it brings the power of advanced data analytics to combat fraudulent transactions and improve compliance. Financial services are the economical backbone of any nation in the world. There are billions of financial transactions which are taking place and all this data is stored and can be considered as a gold mine of data for many different organizations. No human intelligence can dig in this amount of data to come up with something valuable. This is the reason financial organizations are employing artificial intelligence to come up with new algorithms which can change the way financial transactions are being carried out. Artificial Intelligence can complete the task in a very short period. Artificial intelligence can be used to detect frauds, identify possible attacks, and any other kind of anomalies that may be detrimental for the institution. This paper discusses the role of artificial intelligence and machine learning in the finance sector. Additionally, the paper will provide the necessary strategies that any banking organization can follow when digitizing its operations when implementing Artificial Intelligence, Machine learning and Cloud Computing.
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利用人工智能、机器学习和云计算实现金融服务的数字化转型
数字化颠覆正在重新定义行业,改变商业运作方式。人工智能是银行业的未来,因为它带来了先进的数据分析能力,可以打击欺诈交易并提高合规性。金融服务是世界上任何一个国家的经济支柱。有数十亿的金融交易正在发生,所有这些数据都被存储起来,对于许多不同的组织来说,它们可以被视为数据的金矿。人类的智慧无法从这么多的数据中挖掘出有价值的东西。这就是金融机构采用人工智能来提出新算法的原因,这些算法可以改变金融交易的执行方式。人工智能可以在很短的时间内完成这项任务。人工智能可以用来检测欺诈,识别可能的攻击,以及任何其他可能对机构有害的异常情况。本文讨论了人工智能和机器学习在金融领域的作用。此外,本文将提供必要的策略,任何银行组织在实施人工智能、机器学习和云计算时,都可以遵循这些策略。
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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