Google Cloud AI Reviews & Insights

Score8.6 out of 10

88 Reviews and Ratings

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Reviews

7 Reviews

Best ratio tool/price

Rating: 8 out of 10

December 28, 2024

Use Cases and Deployment Scope

It´s used to archive of all fundamental data of the company, so it´s crucial to have one source of truth through all the group. It´s individual member can access there, all the necessary data to perform his work.

Pros

Storage of information
Facility to share info with others
Although you can easily share data you can also maintain the proper controls

Cons

Use AI for recognizing documents in several languages
Use AI to help properly storage docs

Likelihood to Recommend

Very user friendly to work with specially in international environments. This comes along with the ease to set up controls per person of the access to the data. The access via email is also a very nice feature that helps to quickly reply/view what is needed. The thing to improve is helping the user to properly storage info in a way that can be easily tracked.

Luis Doro

Director of Accounting in Finance and Accounting at SWORD Health (501-1000 employees)

Vetted Review

1 year of experience

Verified on LinkedIn

Leader of AI APIs and Tools Google Cloud AI

Rating: 10 out of 10

Incentivized

July 27, 2022

Use Cases and Deployment Scope

I am working on different AI projects for Voice, Sound, Speech, and Images. Google Cloud AI Speech recognition and Image content analysis is the most useful AI API that I have worked with. Benefits are Auto machine learning, easy to train your modules so as the interface is easy to understand, response is quick. That's what we know Google for. Quick and Quality.

Pros

Easy to Train your model
Auto machine learning
Vetrex is Cool
Support wide range of platforms

Cons

My billing account keeps suspending cause of Indian Mendate. So that's the only thing that is frustrating to me.

Likelihood to Recommend

Google Images analysis model is a good one and I think is very useful in our case of detections. Speech AI is also a good one. I can only recommend Google Cloud AI API and the model for that second will be SpeechKit by Yandex both these tools have exceptional values one can utilise to enhance their projects.

Narender Sharma

Founder in Information Technology at Blue Particle Solutions (11-50 employees)

Vetted Review

1 year of experience

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Google Rocks!!

Rating: 10 out of 10

Incentivized

December 23, 2019

Use Cases and Deployment Scope

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.

Pros

Storage of information
Speed

Cons

Design of the program and layout
More security features for us to keep unauthorized users out.

Likelihood to Recommend

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.

Verified User

Representative in Information Technology (11-50 employees)

Vetted Review

4 years of experience

Google Cloud AI Review

Rating: 10 out of 10

Incentivized

December 4, 2019

Use Cases and Deployment Scope

Google Cloud AI is used for computer vision-related workloads company-wide for image classification and other related use cases.

Pros

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.

Cons

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.

Likelihood to Recommend

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.

Verified User

Analyst in Information Technology (51-200 employees)

Vetted Review

3 years of experience

Hard to onboard, great API product from Google!

Rating: 8 out of 10

Incentivized

January 24, 2019

Use Cases and Deployment Scope

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.

Pros

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.

Cons

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.

Likelihood to Recommend

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.

Fedor Paretsky

Co-Founder/CEO in Engineering at aspace, Inc. (1-10 employees)

Vetted Review

1 year of experience

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Google Cloud AI is flexible to boost our productivity quickly with minimal user implementation.

Rating: 8 out of 10

Incentivized

January 17, 2019

Use Cases and Deployment Scope

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.

Pros

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.

Cons

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'.

Likelihood to Recommend

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.

Verified User

Executive in Finance and Accounting (10,001+ employees)

Vetted Review

3 years of experience

The right technology can help your business!

Rating: 10 out of 10

Incentivized

July 11, 2018

Use Cases and Deployment Scope

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.

Pros

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

Cons

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.

Likelihood to Recommend

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.

Marlon Seijas

analista in Finance and Accounting at Consejo Federal de Gobierno (201-500 employees)

Vetted Review

1 year of experience

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Hard to onboard, great API product from Google!

Rating: 8 out of 10

Incentivized

January 24, 2019

Use Cases and Deployment Scope

Pros

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.

Cons

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.

Likelihood to Recommend

Fedor Paretsky

Co-Founder/CEO in Engineering at aspace, Inc. (1-10 employees)

Vetted Review

1 year of experience

View profile