Artificial Intelligence and Machine Learning Capabilities and Application Programming Interfaces at Amazon, Google, and Microsoft
Name
Liu-Boyan-MSMS-Sloan-2022.pdf
Description
Thesis PDF
Size
2.16 MB
Format
Adobe PDF
Checksum (MD5)
139d1923f54069f3bcfe6c737857c843
Author(s)
Liu, Boyan
Advisor(s)
Cusumano, Michael A.
Date Issued
May 2022
Publisher
Massachusetts Institute of Technology
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.
MIT Department
Sloan School of Management
Terms of Use
In Copyright - Educational Use Permitted
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