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The right technology can help your business!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.,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.,10,the first results to take into account is the significant saving of time in our laborious activities this tool has allowed us to optimize our work by duplicating our effort to develop statistics so that our research department can throw the solutions to the problems posed when we save time and we can use this time lapse to respond more immediately to the environment of our business everything becomes profit something that we can not ignore is that with the Google application we have adjusted for the benefit of all the lifeline of the project and its objectives,Amazon Cloud Drive and Microsoft Azure,Workplace by Facebook (Formerly Facebook at Work), IBM Cognos, Alteryx Analytics, Dropbox,18,18,with this application from Google AI our team saved a lot of time. the management of the data provided by the interviews is done with greater fluency. the analysis of the data provided is presented to the board at an opportune time for decision making,the google cloud tool has allowed us to advance in the communication of important data to our customers we are designing new strategies to inform our customers about our projects we have greater clarity to meet the demands of the market and our customers,in our field of action we can use the language translator we can also use the statistics generator take advantage of the benefits of these smart applications to ññevarvar our projects,10,No,Price Product Usability Product Reputation Prior Experience with the Product Vendor Reputation,If I had to do it again, I would not change anything, I made the decision because of the experience with the supplier and its related applications. In my opinion, if you use several products of a brand and you realize that with what you already have at that moment you can solve problems with the same supplier you are working with, it is best to try it and see if it meets your expectations.,Implemented in-house,No,Change management was a big part of the implementation and was well-handled,expectations created around the application, whether it would serve us or not. there was little resistance to change. Short time to understand its operation. in general there were no problems for its implementation.,10,10,No,we have not needed google support so far.,the application is easy to use. It does not require a lot of training. it is easy to install,we have not had problems,Yes, but I don't use it,10Strong, solid offering by GoogleWe are using Google Cloud AI as our AI cloud platform for our machine learning projects. These are company-wide efforts that cover multiple business goals, and are aimed at deploying in-house built machine learning algorithms to very large data sets that are constantly increasing via scouring from the web and via APIs.,Very high performance Massive scalability Easy-to-use machine learning models,More transparency on future roadmap of AI services and areas of focus.,9,We're still in pilot mode, but we anticipate positvie ROI driven by the increased speed and better model training accuracy .,,Amazon Web Services, IBM Compose
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Google Cloud AI
12 Ratings
Score 8.6 out of 101
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Google Cloud AI Reviews

Google Cloud AI
12 Ratings
Score 8.6 out of 101
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Marlon Seijas profile photo
July 11, 2018

Google Cloud AI Review: "The right technology can help your business!"

Score 10 out of 10
Vetted Review
Verified User
Review Source
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.

  • 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.
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.
Read Marlon Seijas's full review
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March 20, 2018

Google Cloud AI Review: "Strong, solid offering by Google"

Score 9 out of 10
Vetted Review
Verified User
Review Source
We are using Google Cloud AI as our AI cloud platform for our machine learning projects. These are company-wide efforts that cover multiple business goals, and are aimed at deploying in-house built machine learning algorithms to very large data sets that are constantly increasing via scouring from the web and via APIs.
  • Very high performance
  • Massive scalability
  • Easy-to-use machine learning models
  • More transparency on future roadmap of AI services and areas of focus.
Helps development team deploy machine learning models fast, even with limited machine learning expertise, both with pre-trained models and by training custom-built models. Some use cases are particularly well served (e.g. image analysis and management, video analysis and management, chatbots, dynamic translation).
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About Google Cloud AI

Google Cloud AI provides modern machine learning services, with pre-trained models and a service to generate tailored models.
Categories:  Machine Learning

Google Cloud AI Technical Details

Operating Systems: Unspecified
Mobile Application:No