Amazon SageMaker vs. Amazon Translate

Amazon SageMaker is a great tool for developing machine learning models that take more effort than just point-and-click type of analyses. The software works well with the other tools in the Amazon ecosystem, so if you use Amazon Web Services or are thinking about it, SageMaker would be a great addition. SageMaker is great for consumer insights, predictive analytics, and looking for gems of insight in the massive amounts of data we create. SageMaker is less suitable for analysts who do generally "small" data analyses, and "small" data analyses in today's world can be billions of records.

Incentivized

I use Amazon Translate plug-in in my regular translation
work. I realized that it does better in marketing and general texts. It still
suffers from some shortcomings when it comes to the specific linguistic
feature of Arabic. It makes some grammatical mistakes. It does not sound
natural in some instances because of using uncommon word combinations.

Incentivized

• Provides enough freedom for experienced data scientists and also for those who just need things done without going much deeper into building models.
• Customization and easy to alter and change.
• If you already are an Amazon user, you do not need to transition over to another software.

Incentivized

• Medical texts
• Neural machine translation
• General texts

Incentivized

• The UI can be eased up a bit for use by business analysts and non technical users
• For huge amount of data pull from legacy solutions, the platform lags a bit
• Considering ML is an emerging topic and would be used by most of the organizations in future, the pipeline integrations can be optimized

Incentivized

• Arabic syntax
• Collocations

Incentivized

Amazon SageMaker comes with other supportive services like S3, SQS, and a vast variety of servers on EC2. It's very comfortable to manage the process and also support the end application by one click hosting option. Also, it charges on the base of what you use and how long you use it, so it becomes less costly compared to others.

Incentivized

I use Google Translate and Amazon Translate. I find them both helpful. What I like more about Amazon Translate is that I can control the privacy of my files. The text entered into Google Translate enters its database and might be used for further improvement of their service; however, I do not like exposing the data of my clients to a third party. Therefore, I find Amazon Translate wins by large in this regard.

Incentivized

• We have been able to deliver data products more rapidly because we spend less time building data pipelines and model servers.
• We can prototype more rapidly because it is easy to configure notebooks to access AWS resources.
• For our use-cases, serving models is less expensive with SageMaker than bespoke servers.

Incentivized

• Affordable fees
• A free tier

Incentivized