{"id":{"repo_id":"mit","oai_identifier":"oai:dspace.mit.edu:1721.1/146689"},"canonical_url":"https://search.dev.ndltd.org/etd/mit/oai:dspace.mit.edu:1721.1/146689","repository":{"repo_id":"mit","name":"MIT","base_url":"https://dspace.mit.edu/oai/request"},"display":{"title":"Artificial Intelligence and Machine Learning Capabilities and Application Programming Interfaces at Amazon, Google, and Microsoft","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_html":"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_has_math":false,"creators":["Liu, Boyan"],"institution":"Massachusetts Institute of Technology","degree_name":"Master","degree_level":null,"degree_discipline":null,"degree_department":"Sloan School of Management","school":null,"contributors":[],"advisors":["Cusumano, Michael A."],"committee_chairs":[],"committee_members":[],"year":2022,"date_issued":"2022-05","date_published":"2022-05","updated_at":"2026-07-22T22:22:27Z","subjects":[],"languages":[],"rights":["In Copyright - Educational Use Permitted","Copyright retained by author(s)"],"rights_urls":["https://rightsstatements.org/page/InC-EDU/1.0/"],"identifier_entries":[]},"links":{"outbound_url":"https://hdl.handle.net/1721.1/146689","outbound_label":"Handle","outbound_source":"dc:identifier.uri"},"metadata_groups":[{"id":"people","label":"People","entries":[{"key":"dc:contributor.advisor","label":"Advisor","values":["Cusumano, Michael A."]},{"key":"dc:contributor.department","label":"Department","values":["Sloan School of Management"]},{"key":"dc:creator","label":"Author","values":["Liu, Boyan"]}]},{"id":"academic_context","label":"Academic Context","entries":[{"key":"dc:date.accessioned","label":"Dc Date Accessioned","values":["2022-11-30T19:41:31Z"]},{"key":"dc:date.available","label":"Dc Date Available","values":["2022-11-30T19:41:31Z"]},{"key":"dc:date.issued","label":"Date","values":["2022-05"]},{"key":"dc:publisher","label":"Institution","values":["Massachusetts Institute of Technology"]},{"key":"dc:type","label":"Dc Type","values":["Thesis"]},{"key":"thesis:degree_name","label":"Degree Name","values":["Master","Master of Science in Management Studies"]}]},{"id":"language_rights","label":"Language and Rights","entries":[{"key":"dc:rights","label":"Dc Rights","values":["In Copyright - Educational Use Permitted","Copyright retained by author(s)"]},{"key":"dc:rights.uri","label":"Rights URI","values":["https://rightsstatements.org/page/InC-EDU/1.0/"]}]},{"id":"identifiers","label":"Identifiers","entries":[{"key":"dc:identifier.uri","label":"Identifier URI","values":["https://hdl.handle.net/1721.1/146689"]}]},{"id":"additional","label":"Additional Metadata","entries":[{"key":"dc:description.abstract","label":"Abstract","values":["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."]},{"key":"dc:description.degree","label":"Dc Description Degree","values":["S.M."]},{"key":"dc:title","label":"Title","values":["Artificial Intelligence and Machine Learning Capabilities and Application Programming Interfaces at Amazon, Google, and Microsoft"]}]}],"canonical_facts":{"dc:contributor.advisor":["Cusumano, Michael A."],"dc:contributor.department":["Sloan School of Management"],"dc:creator":["Liu, Boyan"],"dc:date.accessioned":["2022-11-30T19:41:31Z"],"dc:date.available":["2022-11-30T19:41:31Z"],"dc:date.issued":["2022-05"],"dc:description.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."],"dc:description.degree":["S.M."],"dc:identifier.uri":["https://hdl.handle.net/1721.1/146689"],"dc:publisher":["Massachusetts Institute of Technology"],"dc:rights":["In Copyright - Educational Use Permitted","Copyright retained by author(s)"],"dc:rights.uri":["https://rightsstatements.org/page/InC-EDU/1.0/"],"dc:title":["Artificial Intelligence and Machine Learning Capabilities and Application Programming Interfaces at Amazon, Google, and Microsoft"],"dc:type":["Thesis"],"thesis:degree_name":["Master","Master of Science in Management Studies"]},"updated_at":"2026-07-22T22:22:27Z"}