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Artificial Intelligence for the Financial Services Industry: What Challenges Organizations to Succeed

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Title:Artificial Intelligence for the Financial Services Industry: What Challenges Organizations to Succeed
Authors:Kruse, Luisa
Wunderlich, Nico
Beck, Roman
Keywords:Practice-based IS Research
Organizational Systems and Technology
Artificial Intelligence
Financial Services
show 2 moreOrganizational Readiness
TOE Framework
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Date Issued:08 Jan 2019
Abstract:As a research field, artificial intelligence (AI) exists for several years. More recently, technological breakthroughs, coupled with the fast availability of data, have brought AI closer to commercial use. Internet giants such as Google, Amazon, Apple or Facebook invest significantly into AI, thereby underlining its relevance for business models worldwide. For the highly data driven finance industry, AI is of intensive interest within pilot projects, still, few AI applications have been implemented so far. This study analyzes drivers and inhibitors of a successful AI application in the finance industry based on panel data comprising 22 semi-structured interviews with experts in AI in finance. As theoretical lens, we structured our results using the TOE framework. Guidelines for applying AI successfully reveal AI-specific role models and process competencies as crucial, before trained algorithms will have reached a quality level on which AI applications will operate without human intervention and moral concerns.
Pages/Duration:10 pages
Rights:Attribution-NonCommercial-NoDerivatives 4.0 International
Appears in Collections: Practice-based IS Research

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