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Score 7.5 out of 101
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Score 8.4 out of 101

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Likelihood to Recommend

Amazon SageMaker

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.
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Google Cloud AI

Google Cloud AI is a wonderful product for companies that are looking to offset AI and ML processing power to cloud APIs, and specific Machine Learning use cases to APIs as well. For companies that are looking for very specific, customized ML capabilities that require lots of fine-tuning, it may be better to do this sort of processing through open-source libraries locally, to offset the costs that your company might incur through this API usage.
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Pros

  • 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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Cons

  • 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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Likelihood to Renew

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Google Cloud AI10.0
Based on 1 answer
We are extremely satisfied with the impact that this tool has made on our organization since we have practically moved from crawling to walking in the process of generating information for our main task to investigate in the field through interviews. With the audio to text translation tool there is a difference from heaven to earth in the time of feeding our internal data.
Marlon Seijas profile photo

Usability

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Google Cloud AI10.0
Based on 1 answer
So far we have not had any problems with the application, it is extremely easy to use and it is also easy to install. It does not require much training since the instruction is quite clear for its execution and application in the procedures of the company. The team in charge of this application is very pleased to work with this app.
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Support

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Google Cloud AI10.0
Based on 1 answer
By using this Google search tool, we solved a huge problem, which invested a lot of time in the task of translating the results of field investments. Our aim was in translating this information into reliable statistics for the development of our investments, and with this new market perspective, carry out our business vision
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Implementation

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Google Cloud AI10.0
Based on 1 answer
In fact, you only need the basic tech knowledge to do a Google search. You need to know if your organization requires it or not,. our organization required it. And that is why we acquired it and solved a need that we had been suffering from. This is part of the modernization of an organization and part of its growth as a company.
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Alternatives Considered

Amazon SageMaker is the best option for machine learning if you are already using the Amazon data science ecosystem. The software integrates nicely with MapReduce and most of the other Amazon tools. Additionally, MapReduce does a fairly good job of making the development of machine learning models a user-friendly experience. Sometimes that is no easy task. With this said, it is clear when using MapReduce that the Amazon developers do not have as long of a history in advanced analytics, something that competing tools, such as IBM Watson, has a complete grasp on. Other tools are similar in speed and functionality.
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We decided to use the Google tool because it is better suited to our needs as a team. The other tools seemed very interesting to us, but what made us choose the Google tool is that with the others we would have had to have chosen another tool from the same provider in order to graph our data. With this tool, we do not
Marlon Seijas profile photo

Return on Investment

  • 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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Pricing Details

Amazon SageMaker

General
Free Trial
Free/Freemium Version
Premium Consulting/Integration Services
Entry-level set up fee?
No
Additional Pricing Details

Google Cloud AI

General
Free Trial
Free/Freemium Version
Premium Consulting/Integration Services
Entry-level set up fee?
No
Additional Pricing Details