Artificial Intelligence Impact Evaluation: Transforming Paradigms in Financial Institutions

M. Pandey, I. Sergeeva
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引用次数: 1

Abstract

Artificial Intelligence (AI) is a term shaped by socio-behavioural rationales of human capabilities. AI is broadly characterized by a suite of technologies and capabilities, which are largely autonomous and predictive. Expectations of AI are derived and often benchmarked against human intelligence. The corollary is understanding that AI may be approached by attempting to understand human intelligence itself. The pace of AI application in industry is clearly accelerating as companies begin to leverage AI to increase profitability and achieve scale. This review is centred around how AI is currently being applied in Financial Institutions providing services by covering key implementation aspects, underpinning new products and services, playing a strategic role in digital transformation. This also covers how financial service providers across the globe are meeting the challenges of AI adoption with its emerging risks and regulatory implications, as well as the impact of AI on the competitive landscape and employment levels. In the findings, it reveals how AI is expected to galvanize a paradigm shift within the Financial Services industry, driven by data and innovative algorithms to transform business model transformations. Financial Institutions are beginning to leverage AI to increase profitability and achieve scale, but their success will be highly dependent on the evolving investment into use cases, adoption pattern, and regulatory environment.
人工智能影响评估:金融机构的转型范式
人工智能(AI)是一个由人类能力的社会行为原理塑造的术语。人工智能的广泛特征是一系列技术和能力,这些技术和能力在很大程度上是自主和预测的。对人工智能的期望是衍生出来的,往往以人类智能为基准。其必然结果是,我们可以通过尝试理解人类智能本身来接近人工智能。随着企业开始利用人工智能来提高盈利能力和实现规模,人工智能在工业中的应用步伐明显加快。本次审查主要围绕人工智能目前如何应用于金融机构提供的服务,涵盖关键实施方面,支持新产品和服务,在数字化转型中发挥战略作用。这还涵盖了全球金融服务提供商如何应对人工智能采用带来的挑战,以及人工智能对竞争格局和就业水平的影响。在调查结果中,它揭示了人工智能将如何在数据和创新算法的驱动下,激发金融服务行业的范式转变,从而推动商业模式转型。金融机构开始利用人工智能来提高盈利能力并实现规模,但它们的成功将高度依赖于对用例、采用模式和监管环境的不断发展的投资。
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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