Analýza trhu cloudových služeb strojového učení a umělé inteligence

The aim of this bachelor thesis is to create a market analysis of cloud services for machine learning and artificial intelligence. The initial theoretical part of the thesis explains the concept of machine learning and artificial intelligence, the principle of their operation, their advantages and disadvantages, and their use cases in practice. Then the thesis deals with cloud computing, especially with its pros and cons for the purposes of machine learning and artificial intelligence. It identifies the main players in the cloud computing space and their offerings and types of ML and AI services. These findings are then used to analyze the state of the cloud services market for machine learning and artificial intelligence. Second part of the thesis is a case study in which the author selects cloud platforms for comparison based on the results of the market analysis from the previous chapter, proposes suitable test scenarios and datasets for comparison of the selected services, and compares their performance. The aim of the case study is to compare the performance of the selected cloud services using the defined test scenarios. In the conclusion, the author summarizes the results of the market analysis and the case study and speculates on the further development of the industry based on the findings from the previous part of the thesis.