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Google Cloud AI Review
Updated December 20, 2019

Google Cloud AI Review

Anonymous | TrustRadius Reviewer
Score 10 out of 10
Vetted Review
Verified User

Overall Satisfaction with Google Cloud AI

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.
  • Positive impact on ROI due to reduction in staff needed to build, deploy and manage a AI workload pipeline.
  • Positive impact on the business by moving to OpEx without need for upfront CapEx investment.
  • Improvement in time to analyze the data (structured and unstructured), increasing the business's ability to act based on AI results.
Amazon AWS AI provides is better than Google Cloud AI if you are looking for better support to customize the AI / ML algorithms being used. Google Cloud AI does a better job than Microsoft Azur ML when customization is not needed but speed to market is needed. IBM Watson is on par with Google Cloud AI in certain verticals or even better, for example, healthcare.
Outdated API documentation with not many best practices documentation to figure out how to customize and then deploy.

Do you think Google Cloud AI delivers good value for the price?

Yes

Are you happy with Google Cloud AI's feature set?

Yes

Did Google Cloud AI live up to sales and marketing promises?

Yes

Did implementation of Google Cloud AI go as expected?

Yes

Would you buy Google Cloud AI again?

Yes

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.