Google Cloud AI

Easy to Train your model

Auto machine learning

Vetrex is Cool

Support wide range of platforms

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

Storage of information

Speed

Design of the program and layout

More security features for us to keep unauthorized users out.

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.

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.

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.

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.

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'.

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

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.