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dc.contributor.advisorCusumano, Michael A.
dc.contributor.authorLiu, Boyan
dc.date.accessioned2022-11-30T19:41:31Z
dc.date.available2022-11-30T19:41:31Z
dc.date.issued2022-05
dc.date.submitted2022-11-29T19:32:09.473Z
dc.identifier.urihttps://hdl.handle.net/1721.1/146689
dc.description.abstractWith 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.
dc.publisherMassachusetts Institute of Technology
dc.rightsIn Copyright - Educational Use Permitted
dc.rightsCopyright retained by author(s)
dc.rights.urihttps://rightsstatements.org/page/InC-EDU/1.0/
dc.titleArtificial Intelligence and Machine Learning Capabilities and Application Programming Interfaces at Amazon, Google, and Microsoft
dc.typeThesis
dc.description.degreeS.M.
dc.contributor.departmentSloan School of Management
mit.thesis.degreeMaster
thesis.degree.nameMaster of Science in Management Studies


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