Artificial Intelligence for the Financial Services Industry: What Challenges Organizations to Succeed
- Luisa Kruse, E-Finance Lab, Goethe University Frankfurt, Frankfurt, Germany
- Nico Wunderlich, E-Finance Lab, Goethe University Frankfurt, Frankfurt, Germany
- Roman Beck, IT University of Copenhagen, Copenhagen, Denmark
AbstractAs 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.
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