Google Cloud AI Reviews

43 Ratings
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Score 8.7 out of 100

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Reviews (1-6 of 6)

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December 20, 2019
Anonymous | TrustRadius Reviewer
Score 10 out of 10
Vetted Review
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Google Cloud AI is used for computer vision-related workloads company-wide for image classification and other related use cases.
  • Google Cloud AI was easy to set-up without need for lot of customization and configuration.
  • It integrates very well with the Google BigQuery and Google PubSub that makes it easy to have a ready to use pipeline from data ingestion to analysis.
  • Google Cloud AI has out of the box CV algorithms and video processing modules/APIs that makes is easy to use for image/video processing application and use cases.
  • Some of the build in/supported AI modules that can be deployed, for example Tensorflow, do not have up-to-date documentation so what is actually implemented in the latest rev is not what is mentioned in the documentation, resulting in a lot of debugging time.
  • Customization of existing modules and libraries is harder and it does need time and experience to learn.
  • Google Cloud AI can do a better job in providing better support for Python and other coding languages.
Google Cloud AI is great when you do not need to want to spend time customizing AI libraries and algorithms, and your data is already in the cloud. It is not particularly suited for hybrid cloud deployments or where you need to use/implement your own AI algorithm.
Outdated API documentation with not many best practices documentation to figure out how to customize and then deploy.
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December 23, 2019
Anonymous | TrustRadius Reviewer
Score 10 out of 10
Vetted Review
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Google is a is a great program to use where I am currently working because throughout the time of working we have tried multiple programs and we do not trust them like this company. It keeps all of our data and information safe from any risks that may be out there and could harm us.
  • Storage of information
  • Speed
  • Design of the program and layout
  • More security features for us to keep unauthorized users out.
Lost a lot of data when using another company and this has helped with everything and I haven't lost anything yet. The vault keeps a lot of private information that we once lost safe and we have never had any problems since then.
Every rep has been nice and helpful whenever I call for help. One of the systems froze and wouldn't start back up and with the help of our assigned rep we got everything back up in a timely manner. This helped us not lose customers and money.
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January 23, 2019
Fedor Paretsky | TrustRadius Reviewer
Score 8 out of 10
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Verified User
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We use the AutoML Natural Language part of the Google Cloud AI products. The NLP processor offered helps us understand user intent, sentiment, and perform other analysis on raw text received through multiple frontends for some of our experimental products. We also use the Cloud Vision API for street sign recognition, surveying, among other uses of converting text in images to text our backend can process and catalog.
  • 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.
  • 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.
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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July 11, 2018
Marlon Seijas | TrustRadius Reviewer
Score 10 out of 10
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Verified User
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This tool is being used in our organization by a specific management team, we are using the speech Cloud API. The truth is, to our team of researchers in the behavior field, it has been extremely useful. The savings in the hours-man equation is something wonderful. Now an activity that took us weeks of time invested before, we can do it in hours. And of course, now we dedicate more time to developing activities carried out with the result of our investigations in relatively short time, thanks to this application.

  • good conversion from the voice to the text
  • speed in the conversion from voice to text
  • time-saving in the conversion activity
  • analysis of the results of the conversion in real time
  • really this application so far has been very useful.
  • we believe that it could be better using other forms apart from the microphone.
  • I believe that this application can be merged with another in a way that throws general data on the topics investigated.
In our case, we handle a large volume of interviews in the field and sometimes we can not take our work teams, either for reasons of logistics or security and consequently we must have a tape recorder. and this delays the project time a bit.
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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January 17, 2019
Anonymous | TrustRadius Reviewer
Score 8 out of 10
Vetted Review
Verified User
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Some of the Google Cloud AI solutions are being used across the entire organization. We started using the translate function in Legal, Finance, and our global offices. Many of the team were not happy about the change in our Gmail, which we use globally with the new smart version of the inbox with smart reply, but now we really like it. I use it every day. We also use the voice search quite a bit in Google search, and it seems better than competitors.
  • Smart reply and its AI suggestions make the organization think more carefully about their e-mail responses in Gmail. We were skeptical at first but it really works well for many instances.
  • We do a lot of business and contracts in Western Europe and South America, so the translate solutions make this much easier for our banking paperwork.
  • When we go to meetings or during a meeting, we often use the Google voice search to save time on research and filtering ideas or analysis.
  • 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'.
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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March 20, 2018
Anonymous | TrustRadius Reviewer
Score 9 out of 10
Vetted Review
Verified User
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We are using Google Cloud AI as our AI cloud platform for our machine learning projects. These are company-wide efforts that cover multiple business goals, and are aimed at deploying in-house built machine learning algorithms to very large data sets that are constantly increasing via scouring from the web and via APIs.
  • Very high performance
  • Massive scalability
  • Easy-to-use machine learning models
  • More transparency on future roadmap of AI services and areas of focus.
Helps development team deploy machine learning models fast, even with limited machine learning expertise, both with pre-trained models and by training custom-built models. Some use cases are particularly well served (e.g. image analysis and management, video analysis and management, chatbots, dynamic translation).
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What is Google Cloud AI?

Google Cloud AI provides modern machine learning services, with pre-trained models and a service to generate tailored models.
Categories:  MLOps,  Machine Learning

Google Cloud AI Technical Details

Operating Systems: Unspecified
Mobile Application:No

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What is Google Cloud AI's best feature?

Reviewers rate Support Rating highest, with a score of 7.2.

Who uses Google Cloud AI?

The most common users of Google Cloud AI are from Enterprises and the Information Technology & Services industry.