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Google Cloud AI Platform pros and cons

Vendor: Google
3.9 out of 5

Pros & Cons summary

Buyer's Guide

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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

it_user1287111 - PeerSpot reviewer
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.
VijayVelpula - PeerSpot reviewer
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.
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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Marta Frąckowiak - PeerSpot reviewer
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.
BC
Project Manager at Wipro Limited
Jun 12, 2023
The initial setup is very straightforward.
reviewer2214366 - PeerSpot reviewer
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.
Vipul-Kumar - PeerSpot reviewer
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.
HaiPham - PeerSpot reviewer
Managing Director at sea-solutión
Jul 25, 2024
The platform's Google Vision API is particularly valuable.
TJ
Owner at Go knowledge
Dec 20, 2024
The feedback left about these tools was really helpful and informative for us
 

Google Cloud AI Platform Cons review quotes

it_user1287111 - PeerSpot reviewer
Architect of solutions at ASIC SA
Mar 1, 2021
The initial setup was straightforward for me but could be difficult for others.
VijayVelpula - PeerSpot reviewer
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.
TJ
Owner at Go knowledge
Sep 16, 2022
The solution can be improved by simplifying the process to make your own models.
Find out what your peers are saying about Google, Microsoft, IBM and others in AI Development Platforms. Updated: November 2025.
879,259 professionals have used our research since 2012.
Marta Frąckowiak - PeerSpot reviewer
Student at Politechnika Gdańska
Apr 20, 2023
It could be more clear, and sometimes there are errors that I don't quite understand.
BC
Project Manager at Wipro Limited
Jun 12, 2023
Customizations are very difficult, and they take time.
reviewer2214366 - PeerSpot reviewer
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.
Vipul-Kumar - PeerSpot reviewer
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.
HaiPham - PeerSpot reviewer
Managing Director at sea-solutión
Jul 25, 2024
Improvements in text extraction accuracy and pricing adjustments would be helpful.
TJ
Owner at Go knowledge
Dec 20, 2024
The model management on Google Cloud AI Platform could be better.