Google Cloud AI Platform Reviews

Name: Google Cloud AI Platform
Brand: Google
Rating: 3.9 (8 reviews)

3.9 out of 5

8 reviews
100% willing to recommend

What is Google Cloud AI Platform?

Google AI Platform is a managed service that enables you to easily build machine learning models, that work on any type of data, of any size. Create your model with the powerful TensorFlow framework that powers many Google products, from Google Photos to Google Cloud Speech.

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Google Cloud AI Platform is the #7 ranked solution in top AI Development Platforms. PeerSpot users give Google Cloud AI Platform an average rating of 7.8 out of 10. Based on the analysis of the 8 most recent Google Cloud AI Platform reviews, the overall sentiment is positive, with a sentiment score of 7.2. (Among the highest in the category). Google Cloud AI Platform is most commonly compared to Microsoft Azure Machine Learning Studio: Google Cloud AI Platform vs Microsoft Azure Machine Learning Studio. Google Cloud AI Platform is popular among the large enterprise segment, accounting for 61% of users researching this solution on PeerSpot. The top industry researching this solution are professionals from a computer software company, accounting for 15% of all views.

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AI Development Platforms

December 2024

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Featured reviews

Vipul-Kumar

CTO at Intelli AI LLC

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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Marta Frąckowiak

Student at Gdańsk University of Technology

I used Google Cloud AI Platform for a project at AltaML, where I had to predict client satisfaction levels for a particular company. At that time, I didn't have experience with APIs or anything like that, so my experience with the platform was limited. I think Azure has more options for me since…

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HaiPham

Managing Director at sea-solutión

We use Google Cloud AI Platform to extract text from images, such as forms. The platform's Google Vision API is particularly valuable. It helps with text extraction from images. Improvements in text extraction accuracy and pricing adjustments would be helpful. The solution is stable. We have…

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Google Cloud AI Platform mindshare

As of December 2024, the mindshare of Google Cloud AI Platform in the AI Development Platforms category stands at 7.2%, down from 7.4% compared to the previous year, according to calculations based on PeerSpot user engagement data.

AI Development Platforms

Key learnings from peers

Last updated Dec 5, 2024

Valuable Features

Google Cloud AI Platform offers valuable features like a vast array of services including load balancer and AI architecture. Users appreciate options like handwriting recognition, video object classification, and Google Vision API for text extraction from images. It is favored for cost-effectiveness compared to Salesforce and provides a user-friendly interface. Reinforcement learning and separate APIs for data updates are also notable. It supports a variety of algorithms and integrates EIM voice mails efficiently.

"The platform's Google Vision API is particularly valuable."
"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."
"I think the user interface is quite handy, and it is easy to use as compared to the other cloud platforms."

Room for Improvement

Google Cloud AI Platform could improve by simplifying model creation processes and enhancing customization features. Performance optimization, clearer error messages, and better database integration are needed. Adding more algorithms, refining text extraction accuracy, and price adjustments would be beneficial. They also need to address gaps in moving modules between development and production environments. Direct recognition of lists and incorporating generative AI features like Azure could provide notable advantages and increased usability for users.

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

Pricing

Enterprise users express mixed opinions on Google Cloud AI Platform's pricing. The solution offers competitive rates based on usage, starting at approximately four and a half euros per thousand uses. A processing of 21,000 items costs around one hundred euros. A three-month introductory program costs 300 USD, providing substantial work capability. Licensing costs are affordable and vary by need. Pricing satisfaction rates high, though some consider it expensive.

"The pricing is on the expensive side."
"The licenses are cheap."
"The solution has an attractive starting program, which costs only 300 USD for a duration of three months. During this period, one can accomplish a lot of work on the solution."

Popular Use Cases

Organizations leverage Google Cloud AI Platform for various purposes such as deploying cloud applications for government clients, identifying contact details from datasets, developing data models, and validating information against telecom providers. They automate data input into Excel, predict customer satisfaction, build applications, and create end-to-end data pipelines with Vertex. Additionally, Google Cloud AI Platform is employed for text extraction from images and forms, catering to diverse client requirements.

Service and Support

Google Cloud AI Platform customer service and support receive mixed feedback. Some users appreciate the responsiveness, mentioning replies within an hour and a half. Users note technical assistance is good but suggest improvements compared to Salesforce. Engaging and prompt responses are highlighted, yet the comparisons indicate room for refinement in certain areas of support.

Deployment

Initial setup for Google Cloud AI Platform is straightforward for many, though challenging for some. Users log in, create credentials, and start in minutes. Deployment is efficient, with training within hours and deployment in minutes. Users note that endpoint creation may take time, and connecting process containers can prolong setup. Some found understanding the process took days initially, but subsequent setups were faster. Many consider their initial setup experience positive and rate the platform highly.

Scalability

Google Cloud AI Platform is considered scalable, comparable to Microsoft and Amazon. Users mention scalability, especially during deployment stages. Some organizations are still exploring its potential benefits. While usage varies, one observes under 100 users within a company. Scalability is rated eight out of ten, contingent on customer needs.

Stability

Google Cloud AI Platform is noted for its stability. Users frequently describe it as extremely stable, rating it around eight out of ten for reliability. Stability experiences vary depending on usage and licensing, but generally, users face no issues. Although some lack extensive experience with Google Cloud AI Platform, those who do use it confidently acknowledge its stable nature.

These insights are based on the in-depth reviews provided by peers to help you make a better buying decision.

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