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|Abstract=AI as a Service (AIaaS) is a promising path to leverage AI capabilities from the cloud. However, there is no one-size-fits-all service, but heterogenous service options since in- terdependent AIaaS characteristics require trade-offs. We lack knowledge on these trade- offs and how they result from conflicting characteristics. Therefore, we interviewed 39 AIaaS providers, customers, and consultants to provide rich descriptions of interdepend- ent characteristics and uncover resulting trade-offs and their consequences. This study contributes to a better understanding of the inner functioning and interplay of AIaaS characteristics and discusses how this complex nature of service offerings impacts pro- viders’ design and customers’ selection decisions
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|Abstract=AI as a Service (AIaaS) is a promising path to leverage AI capabilities from the cloud. However, there is no one-size-fits-all service, but heterogenous service options since interdependent AIaaS characteristics require trade-offs. We lack knowledge on these trade-offs and how they result from conflicting characteristics. Therefore, we interviewed 39 AIaaS providers, customers, and consultants to provide rich descriptions of interdependent characteristics and uncover resulting trade-offs and their consequences. This study contributes to a better understanding of the inner functioning and interplay of AIaaS characteristics and discusses how this complex nature of service offerings impacts providers’ design and customers’ selection decisions.
 
|Link=https://aisel.aisnet.org/icis2023/itadopt/itadopt/5/
 
|Link=https://aisel.aisnet.org/icis2023/itadopt/itadopt/5/
 
|Forschungsgruppe=Critical Information Infrastructures
 
|Forschungsgruppe=Critical Information Infrastructures
 
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Aktuelle Version vom 2. Januar 2024, 09:29 Uhr


Artificial Intelligence as a Service: Trade-Offs Impacting Service Design and Selection


Artificial Intelligence as a Service: Trade-Offs Impacting Service Design and Selection



Published: 2023 Dezember

Buchtitel: ICIS 2023 Proceedings
Verlag: Association for Information Systems (AIS)
Erscheinungsort: Hyderabad
Organisation: AIS

Nicht-referierte Veröffentlichung

BibTeX

Kurzfassung
AI as a Service (AIaaS) is a promising path to leverage AI capabilities from the cloud. However, there is no one-size-fits-all service, but heterogenous service options since interdependent AIaaS characteristics require trade-offs. We lack knowledge on these trade-offs and how they result from conflicting characteristics. Therefore, we interviewed 39 AIaaS providers, customers, and consultants to provide rich descriptions of interdependent characteristics and uncover resulting trade-offs and their consequences. This study contributes to a better understanding of the inner functioning and interplay of AIaaS characteristics and discusses how this complex nature of service offerings impacts providers’ design and customers’ selection decisions.

Weitere Informationen unter: Link



Forschungsgruppe

Critical Information Infrastructures


Forschungsgebiet