What users are saying about
12 Ratings
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Score 7.7 out of 101
22 Ratings
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Score 8.4 out of 101

Likelihood to Recommend

Amazon SageMaker

It allows for one-click processes and for things to be auto checked before they are moved through the process but through the system. It also makes training easy. I am able to train users on the basic fundamentals of the tool and how it is used very easily as it is fully managed on its own which is incredible.
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Google Cloud AI

Everyday work, e.g. e-mailing, research, connectivity during and in transit to meetings, is excellent for using the cloud AI tools and solutions. The more one uses it, the easier it becomes. Our organization is just scraping the surface of the AI tools, and we want to be full in. This will take change management on our side, and more immersion.
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Pros

Amazon SageMaker

  • SageMaker is useful as a managed Jupyter notebook server. Using the notebook instances' IAM roles to grant access to private S3 buckets and other AWS resources is great. Using SageMaker's lifecycle scripts and AWS Secrets Manager to inject connection strings and other secrets is great.
  • SageMaker is good at serving models. The interface it provides is often clunky, but a managed, auto-scaling model server is powerful.
  • SageMaker is opinionated about versioning machine learning models and useful if you agree with its opinions.
Gavin Hackeling profile photo

Google Cloud AI

  • 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.
Fedor Paretsky profile photo

Cons

Amazon SageMaker

  • SageMaker does not allow you to schedule training jobs.
  • SageMaker does not provide a mechanism for easily tracking metrics logged during training.
  • We often fit feature extraction and model pipelines. We can inject the model artifacts into AWS-provided containers, but we cannot inject the feature extractors. We could provide our own container to SageMaker instead, but this is tantamount to serving the model ourselves.
Gavin Hackeling profile photo

Google Cloud AI

  • It is great that it helps shortcut and boost productivity, but AI is very much in infancy so it comes back with some crazy responses.
  • Not sure how secure the Google Cloud AI is with fraudsters and cybercriminals. Not that we have seen compromises, but building trust all of the time is crucial.
  • I always support the need for more training, procedures or on the spot tips for cloud applications. This would make it more seamless, especially since tech is changing so rapidly. It's hard to keep up, so we all need some help to make it 'smoother'.
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Likelihood to Renew

Amazon SageMaker

No score
No answers yet
No answers on this topic

Google Cloud AI

Google Cloud AI 10.0
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

Amazon SageMaker

No score
No answers yet
No answers on this topic

Google Cloud AI

Google Cloud AI 10.0
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.
Marlon Seijas profile photo

Support

Amazon SageMaker

No score
No answers yet
No answers on this topic

Google Cloud AI

Google Cloud AI 10.0
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
Marlon Seijas profile photo

Implementation

Amazon SageMaker

No score
No answers yet
No answers on this topic

Google Cloud AI

Google Cloud AI 10.0
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.
Marlon Seijas profile photo

Alternatives Considered

Amazon SageMaker

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.
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Google Cloud AI

Google cloud AI stacks up comprehensively and competitively with other tech providers. Their scientists are smarter, make bigger leaps forward in design, and they are always cutting edge in methods to boost productivity and skip to the next generation. We need machine AI, as we can't afford to do it ourselves and need to use products and solutions like this to come up with new ideas so we can expand our business success.
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Return on Investment

Amazon SageMaker

  • SageMaker was a positive return on investment for those analysts that wanted to use new tools and had the aptitude to implement machine learning models with new resources. Such individuals were quick to improve their productivity with SageMaker.
  • SageMaker was not a useful tool for analysts used to running reports on small data. Machine learning is a new area, and analysts that are only marginally interested in machine learning will find SageMaker not worth the effort.
  • When used in combination with other machine learning tools, SageMaker is a perfect addition because it complements the Amazon ecosystem while the other tools provide more simple model development environments.
Thomas Young profile photo

Google Cloud AI

  • Artificial intelligence and automation seems 'free' and draws the organization in, without seeming to spend a lot of funds. A positive impact, but who is actually tracking the cost?
  • We want our employees to use it, but many resist technology or are scared of it, so we need a way to make them feel more comfortable with the AI.
  • The ROI seems positive since we are full in with Google, and the tools come along with the functionality.
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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

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