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Determinant Factors of the Adoption of AI-as-a-Service

Informationen zur Arbeit

Abschlussarbeitstyp: Bachelor, Master
Betreuer: Sebastian Lins
Forschungsgruppe: unbekannt
Partner: Yale University
Archivierungsnummer: 4548
Abschlussarbeitsstatus: Offen
Beginn: 27. Januar 2020
Abgabe: unbekannt

Weitere Informationen


Artificial Intelligence (AI) is a topic of ever-increasing relevance in today’s technologies. With the possible application scenarios of AI in companies being as diverse as imaginable, it creates value in every industrial sector where large amounts of data accumulate. However, companies face numerous considerable barriers adopting AI, such as the high cost of computing power or the limited expertise in this domain. Combining the benefits of a cloud environment with the application scenarios of AI has created a powerful new way to adopt AI provided by a third-party provider as a cloud service – so called AI as a Service (AIaaS). However, a holistic view of the determinant factors motivating companies to adopt AI in the form of AIaaS is virtually absent in the literature.


The study aims to close this gap by characterizing AIaaS and elaborating the drivers and barriers in its adoption.


Interviews and discussions with experts, such as AIaaS-Providers, companies willing to use these services, consultants...