范式转换:全球人工智能在金融服务中的应用

Lukas Ryll, Mary Emma Barton, B. Zhang, R. McWaters, Emmanuel Schizas, Rui Hao, Keith Bear, Massimo Preziuso, Elizabeth Seger, R. Wardrop, P. Rau, P. Debata, Philip Rowan, N. Adams, M. Gray, Nikos Yerolemou
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引用次数: 32

摘要

本报告介绍了由剑桥大学贾奇商学院剑桥替代金融中心(CCAF)和世界经济论坛在2019年第二季度至第三季度联合进行的一项关于金融服务中人工智能的全球调查的结果。这是全球最大的金融服务人工智能实证研究之一,来自33个国家的151名受访者参与了调查,包括金融科技公司(占样本的54%)和现有金融机构(占样本的46%)。这项研究得到了安永和景顺的支持。该研究的目的是分析和了解金融服务业采用人工智能的现状及其后续影响。这是通过对基于网络的问卷调查收集的经验数据进行比较分析来完成的。这项研究全面展示了金融科技公司和现有公司目前如何将人工智能应用于金融服务领域;推动不同的商业模式;支持新产品和服务;并在数字化转型中发挥战略性作用。调查结果还揭示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。该研究的主要结果表明,人工智能有望改变金融服务行业的许多不同模式。这些预期的变化包括如何利用数据来产生更具可操作性的见解;商业模式创新(例如,将人工智能作为服务出售);“大科技”的进入和整合改变了竞争环境;对就业和监管的各种影响;对风险和偏见的影响;以及改变游戏规则的技术的进一步发展和采用。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Transforming Paradigms: A Global AI in Financial Services Survey
This report presents the findings of a global survey on AI in Financial Services jointly conducted by the Cambridge Centre for Alternative Finance (CCAF) at the University of Cambridge Judge Business School and the World Economic Forum in Q2-Q3 2019. Representing one of the largest global empirical studies on AI in Financial Services, a total of 151 respondents from 33 countries participated in the survey, including both FinTechs (54% of the sample) and incumbent financial institutions (46% of the sample). The study was supported by EY and Invesco. The study’s objective was to analyse and understand the current state of AI adoption in Financial Services, as well as its subsequent implications. This was done through the comparative analysis of empirical data collected via a web-based questionnaire. This research provides a comprehensive picture of how AI is currently being applied in Financial Services by both FinTechs and Incumbents; driving different business models; underpinning new products and services; and playing a strategic role in digital transformation. The findings also reveal 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. The overarching findings of the study suggest that AI is expected to transform a number of different paradigms within the Financial Services industry. These anticipated changes include how data is utilised to generate more actionable insights; business model innovation (e.g., selling AI as a service); changes to the competitive environment with the entrance of ‘Big Tech’ and consolidation; various impacts on jobs and regulation; impacts on risks and biases; and the further development and adoption of game-changing technologies.
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