2026-09-20T17:17:42Zhttps://dspace.mit.edu/server/oai/requestoai:dspace.mit.edu:1721.1/1466892022-12-01T03:00:57Zcom_1721.1_7582com_1721.1_7581col_1721.1_131023
Cusumano, Michael A.
Liu, Boyan
Sloan School of Management
2022-11-30T19:41:31Z
2022-11-30T19:41:31Z
2022-05
2022-11-29T19:32:09.473Z
https://hdl.handle.net/1721.1/146689
With the continuous development of artificial intelligence (AI) and machine learning (ML), cloudbased AI and ML have been hot in recent years. The trend is that cloud-based services and products have become a strategic weapon for giant tech companies. However, each major manufacturer's competitive strategy and focus are different, leading to fierce competition under the share and pattern of change.
This thesis starts with the overall development of AI and ML and introduces the history and status of cloud-based AI and ML development in technology companies. Then, by introducing official websites and open API interfaces and their documentation, I analyze the internal applications and external ecosystem of Amazon, Microsoft, and Google and compare the three companies' AI and ML platform development strategies. Finally, I predict the development direction of AI and ML platforms, including future business models and outbreak trends, and analyze these three companies' corresponding platform development strategies.
S.M.
Massachusetts Institute of Technology
In Copyright - Educational Use Permitted
Copyright retained by author(s)
https://rightsstatements.org/page/InC-EDU/1.0/
Artificial Intelligence and Machine Learning Capabilities and Application Programming Interfaces at Amazon, Google, and Microsoft
Thesis
application/pdf
Master
Master of Science in Management Studies
Publication
unknown
unknown
<Publication xmlns="https://www.openaire.eu/cerif-profile/1.1/" id="f55adfc1-7b6f-40d3-b4b0-f912080c15fc">
<Type xmlns="https://www.openaire.eu/cerif-profile/vocab/COAR_Publication_Types">http://purl.org/coar/resource_type/c_1843</Type>
<Title>Artificial Intelligence and Machine Learning Capabilities and Application Programming Interfaces at Amazon, Google, and Microsoft</Title>
<PublishedIn>
<Publication>
</Publication>
</PublishedIn>
<PublicationDate>2022-05</PublicationDate>
<Authors>
<Author>
<DisplayName>Liu, Boyan</DisplayName>
<Affiliation>
<OrgUnit>
</OrgUnit>
</Affiliation>
</Author>
</Authors>
<Editors>
</Editors>
<Publishers>
<Publisher>
<DisplayName>Massachusetts Institute of Technology</DisplayName>
<OrgUnit />
</Publisher>
</Publishers>
<License>https://rightsstatements.org/page/InC-EDU/1.0/</License>
<Abstract>With the continuous development of artificial intelligence (AI) and machine learning (ML), cloudbased AI and ML have been hot in recent years. The trend is that cloud-based services and products have become a strategic weapon for giant tech companies. However, each major manufacturer's competitive strategy and focus are different, leading to fierce competition under the share and pattern of change.
This thesis starts with the overall development of AI and ML and introduces the history and status of cloud-based AI and ML development in technology companies. Then, by introducing official websites and open API interfaces and their documentation, I analyze the internal applications and external ecosystem of Amazon, Microsoft, and Google and compare the three companies' AI and ML platform development strategies. Finally, I predict the development direction of AI and ML platforms, including future business models and outbreak trends, and analyze these three companies' corresponding platform development strategies.</Abstract>
<Access xmlns="http://purl.org/coar/access_right"
>
</Access>
</Publication>