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.
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.
VU
Verified User
Representative in Information Technology (Information Technology and Services company, 11-50 employees)
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.
