Amazon SageMaker vs Google Cloud AI

• 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.

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• New products - Google is constantly releasing and adding new products to this API, it seems to be on of the fastest-growing products for this.
• Speed - The API is a lot faster than most of the alternative Computer Vision and general-use Machine Learning APIs out there.
• Comprehensive results - The results the API returns for most of the products don't require recurring API requests for processing. Everything is included and organized exactly in the JSON response as mentioned in their documentation for most of these Cloud AI products.
• The documentation format for this API is much better than some of Google's other documentation.

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• I think that although the algorithms are there and you are using one click, there could be more detailed descriptions located in places so that other users are able to easily find the right formula and tools.
• Mobile friendly options would be a huge plus, even tracking what employees are using this tool for in regards to reporting.

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• Hard to find what to use - To find the right products, you need look closely at the details of each API, and find which suits your purposes. This can be easily fixed by creating a main page that details all of the products simply.
• Expensive - The API costs can quickly add up, especially during the setup process and as engineers figure out the usage of the API.
• No playground or training - There is a lack of an "API playground" or training sessions that could make onboarding engineers to this API much easier.

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• Use of this tool across areas of our organization has allowed for more time to be spent on other things as this is taking a lot of the heavy lifting and developing out of the machine learning process all together.
• Database of algorithms ready to use and adjust, customizing is key with this group of employees and their daily work while using this software.

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• the first results to take into account is the significant saving of time in our laborious activities
• this tool has allowed us to optimize our work by duplicating our effort to develop statistics so that our research department can throw the solutions to the problems posed
• when we save time and we can use this time lapse to respond more immediately to the environment of our business everything becomes profit
• something that we can not ignore is that with the Google application we have adjusted for the benefit of all the lifeline of the project and its objectives

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