然也由於應用層面廣泛、商機 潛力無限、因此在AWS推出AIaaS 之後

然也由於應用層面廣泛、商機 潛力無限、因此在AWS推出AIaaS 之後，Google及微軟Azure都相繼跟進。而AWS前2年專注在基礎架構，2019年拉回戰場至服務，從平台開發到終端服務一併俱全， 以AutoML的平台層比較，AWS SageMaker的透明度較高，而2019年推出的新服務，更凸顯此特點。

結果 (英文) 1:

However, also due to the extensive application level, opportunities unlimited potential, so after the introduction of AIaaS in AWS, Google and Microsoft Azure are followed suit. The AWS 2 years ago to focus on infrastructure, in 2019 back to the battlefield to the service, from the platform to the development of Terminal Services in conjunction taste, compare to AutoML the platform layer, high transparency AWS SageMaker, and the 2019 launch of the new service, to highlight this feature.

結果 (英文) 2:

But Google and Microsoft Azure followed suit after AWS launched AIaaS due to its wide range of applications and unlimited potential opportunities. While AWS focused on infrastructure for the first two years, pulling back to the battlefield to services in 2019, from platform development to terminal services, with The Platform Level of AutoML, AWS SageMaker is more transparent, and the new service launched in 2019 highlights this feature.

結果 (英文) 3:

However, due to the wide application level and unlimited business opportunities, Google and Microsoft azure have followed up after AWS launched aiaas. In the first two years, AWS focused on infrastructure, pulled back to the battlefield in 2019, and integrated platform development and terminal services. Compared with the platform layer of automl, AWS The transparency of sagemaker is high, and the new service launched in 2019 highlights this feature.