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Transferal Skills in Applied Artificial Intelligence – The Case of Financial Sector

  • Artificial Intelligence (AI) can potentially transform many aspects of modern society in various ways, including automation of tasks, personalization of products and services, diagnosis of diseases and their treatment, transportation, safety, and security in public spaces, etc. Recently, AI technology has been transforming the financial industry, offering new ways to analyse data and automateArtificial Intelligence (AI) can potentially transform many aspects of modern society in various ways, including automation of tasks, personalization of products and services, diagnosis of diseases and their treatment, transportation, safety, and security in public spaces, etc. Recently, AI technology has been transforming the financial industry, offering new ways to analyse data and automate processes, reduce costs, increase efficiency, and provide more personalized services to customers. However, it also raised important ethical and regulatory questions that need to be addressed by the industry and society as a whole. The aim of the Erasmus+ project Transversal Skills in Applied Artificial Intelligence - TSAAI (KA220-HED - Cooperation Partnerships in higher education) has been to establish a training platform that will incorporate teaching guidelines based on a curriculum covering different areas of application of AI technology. In this work, we will focus on applying AI models in the financial and insurance sectors.show moreshow less

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Metadaten
Document Type:Conference Proceeding
Conference Type:Konferenz-Abstract
Zitierlink: https://opus.hs-offenburg.de/8347
Bibliografische Angaben
Title (English):Transferal Skills in Applied Artificial Intelligence – The Case of Financial Sector
Conference:Management International Conference (22. : 7-10 June 2023 : Trieste, Italy)
Author:Aleksandra Porjazoska KujundziskiORCiD, Ervin DomazetORCiD, Hiqmet KamberajORCiD, Damir RahmaniORCiD, Amra FetaORCiD, Francisco Lopez ValverdeORCiD, Sergio Gálvez RojasORCiD, Eduard PetlenkovORCiD, Kristina VassiljevaORCiD, Ivan ŠtajduharORCiD, Tobias HagenStaff MemberORCiDGND, Anton GradišekORCiD, Aleksander ZidanšekORCiD
Year of Publication:2023
Page Number:1
First Page:111
Parent Title (English):Toward Green, Inclusive, and Digital Growth : Abstracts of the Joint International Conference
ISBN:978-961-293-234-3
DOI:https://doi.org/10.26493/978-961-293-234-3
URL:https://www.hippocampus.si/ISBN/978-961-293-234-3/88.pdf
Language:English
Inhaltliche Informationen
Institutes:Forschung / IMLA - Institute for Machine Learning and Analytics
Fakultät Wirtschaft (W)
Collections of the Offenburg University:Bibliografie
Tag:Artificial Intelligence; transversal skills
Funded by (selection):EU-Programme
Funded by (textarea):Erasmus+ KA2
Funding number:2021-1-ES01-KA220-HED-000030125
Formale Angaben
Relevance for "Jahresbericht über Forschungsleistungen":Keine Relevanz
Open Access: Open Access 
 Diamond 
Licence (German):License LogoCreative Commons - CC BY - Namensnennung 4.0 International