Google Cloud AI Reviews and Ratings

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

Use Cases and Deployment Scope

<div>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.

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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.