Artificial intelligence: how to develop organizations to succeed

  • DIGITAL TRANSFORMATION COUPLED WITH THE SIMPLIFIED AVAILABILITY OF DATA BRINGS ARTIFICIAL INTELLIGENCE (AI) CLOSER TO COMMERCIAL USE. FOR THE DATADRIVEN FINANCIAL 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 ADOPTION IN THE FINANCIAL INDUSTRY BASED ON PANEL DATA COMPRISING 22 SEMI-STRUCTURED INTERVIEWS WITH EXPERTS OF AI IN FINANCE, INCLUDING INTERVIEWEES FROM LEADING SOFTWARE PROVIDERS SUCH AS SAP, IBM, SALESFORCE, AND MICROSOFT. FOR APPLYING AI SUCCESSFULLY, THE GUIDELINES REVEAL SEVERAL DATA CONDITIONS, AI-SPECIFIC ROLE MODELS, AND OVERCOMING MORAL CONCERNS AS CRUCIAL BEFORE TRAINED ALGORITHMS WILL HAVE REACHED A QUALITY LEVEL TO OPERATE WITHOUT HUMAN INTERVENTION.

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Metadaten
Author:Luisa Kruse, Nico Wunderlich, Roman Beck
URN:urn:nbn:de:hebis:30:3-580414
ISSN:1866-1238
Parent Title (English):EFL quarterly : an E-Finance Lab publication
Publisher:E-Finance Lab e.V.
Place of publication:Frankfurt am Main
Document Type:Article
Language:English
Year of Completion:2019
Year of first Publication:2019
Publishing Institution:Universit├Ątsbibliothek Johann Christian Senckenberg
Release Date:2021/01/25
Volume:2019
Issue:2
Page Number:3
First Page:6
Last Page:8
HeBIS-PPN:477499929
Institutes:Angeschlossene und kooperierende Institutionen / E-Finance Lab e.V.
Dewey Decimal Classification:3 Sozialwissenschaften / 33 Wirtschaft / 330 Wirtschaft
Sammlungen:Universit├Ątspublikationen
Licence (German):License LogoDeutsches Urheberrecht