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Google Cloud AI Platform pros and cons

Vendor: Google

3.9 out of 5

9 reviews
100% willing to recommend

Pros & Cons summary

Google Cloud AI Platform provides services like load balancer and AI architecture, allowing clients to expose API services for data management. It offers quick model training and deployment. Valuable tools like Google Vision API enhance usability, though some users find setup challenging. Customizations are time-consuming, errors are unclear, and model management needs improvement. There are areas for enhancement in text extraction accuracy and pricing.

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Prominent pros & cons

PROS

Google Cloud AI Platform offers a vast range of services, such as load balancer and AI architecture.

Users can expose their API services for clients to send information, either as individual records or in batches.

Model training and deployment are very fast, with the process taking less than an hour.

The setup process for Google Cloud AI Platform is straightforward.

Google Vision API is identified as particularly valuable by users.

CONS

Initial setup could be difficult for some users.

Customizations are very difficult and time-consuming.

The process to create models needs simplification.

Occasional errors occur, which are hard to understand.

Model management capabilities could be improved.

Google Cloud AI Platform Pros review quotes

TJ

Owner at Go knowledge

Dec 20, 2024

The feedback left about these tools was really helpful and informative for us

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Managing Director at sea-solutión

Jul 25, 2024

The platform's Google Vision API is particularly valuable.

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CTO at Intelli AI LLC

Nov 3, 2023

A range of a a wide range of algorithms, EIM voice mails, which can be plugged in right away into your solution into into into our solution, and then have platform that provides know, to to come up with an operational solution really quick.

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BhartiChanchlani

Project Manager at Wipro Limited

Jun 12, 2023

The initial setup is very straightforward.

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TJ

Owner at Go knowledge

Sep 16, 2022

The solution is able to read 90% of the documents correctly with a 10% error rate.

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Data Scientist at NeuStar

Apr 30, 2022

On GCP, we are exposing our API services to our clients so that they send us their information. It can be single individual records or it can be a batch of their clients.

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reviewer2214366

Data Engineer at a educational organization with 201-500 employees

Jun 20, 2023

I think the user interface is quite handy, and it is easy to use as compared to the other cloud platforms.

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Marta Frąckowiak

Student at Politechnika Gdańska

Apr 20, 2023

Since the model could be trained in just a couple of hours and deploying it took only a few minutes, the entire process took less than an hour.

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Architect of solutions at ASIC SA

Mar 1, 2021

Some of the valuable features are the vast amount of services that are available, such as load balancer, and the AI architecture.

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Google Cloud AI Platform Cons review quotes

TJ

Owner at Go knowledge

Dec 20, 2024

The model management on Google Cloud AI Platform could be better.

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Managing Director at sea-solutión

Jul 25, 2024

Improvements in text extraction accuracy and pricing adjustments would be helpful.

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CTO at Intelli AI LLC

Nov 3, 2023

I think it's the it it also has has evolved quite a bit over the last few years, and Google Cloud folks have been getting, more and more services. But I think from a improvement standpoint, so maybe they can look at adding more algorithms, so adding more AI algorithms to their suite.

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BhartiChanchlani

Project Manager at Wipro Limited

Jun 12, 2023

Customizations are very difficult, and they take time.

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TJ

Owner at Go knowledge

Sep 16, 2022

The solution can be improved by simplifying the process to make your own models.

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Data Scientist at NeuStar

Apr 30, 2022

At first, there were only the user-managed rules to identify the best attributes of the individual. Then, we came up with a truth set and developed different machine learning models with the help of that truth set, so now it's completely machine learning.

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reviewer2214366

Data Engineer at a educational organization with 201-500 employees

Jun 20, 2023

One thing that I found is that Azure ML does not directly provide you with features on Google Cloud AI Platform, whereas Vertex provides some features of the platform.

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Marta Frąckowiak

Student at Politechnika Gdańska

Apr 20, 2023

It could be more clear, and sometimes there are errors that I don't quite understand.

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Architect of solutions at ASIC SA

Mar 1, 2021

The initial setup was straightforward for me but could be difficult for others.

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