Leader of AI APIs and Tools Google Cloud AI
I am working on different AI projects for Voice, Sound, Speech, and Images. Google Cloud AI Speech recognition and Image content analysis …
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What is Google Cloud AI?
Google Cloud AI provides modern machine learning services, with pre-trained models and a service to generate tailored models.
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What is Google Cloud AI?
Google Cloud AI provides modern machine learning services, with pre-trained models and a service to generate tailored models.
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- No setup fee
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- Free/Freemium Version
- Premium Consulting/Integration Services
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What is Google Cloud AI?
Google Cloud AI provides modern machine learning services, with pre-trained models and a service to generate tailored models.
Google Cloud AI Technical Details
| Operating Systems | Unspecified |
|---|---|
| Mobile Application | No |
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(86)Attribute Ratings
Reviews
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December 23, 2019
Google Rocks!!
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.
- Storage of information
- Speed
- Design of the program and layout
- More security features for us to keep unauthorized users out.
- Loss of some data
- Save money
This product has given us the type of space and security that we need to store data. Other companies have given us so many problems when it comes to losing power and losing data and with over 15 thousand consumers we need to make sure all of our stuff is safe and not lost.
December 20, 2019
Google Cloud AI Review
Google Cloud AI is used for computer vision-related workloads company-wide for image classification and other related use cases.
- 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.
- Positive impact on ROI due to reduction in staff needed to build, deploy and manage a AI workload pipeline.
- Positive impact on the business by moving to OpEx without need for upfront CapEx investment.
- Improvement in time to analyze the data (structured and unstructured), increasing the business's ability to act based on AI results.
Amazon AWS AI provides is better than Google Cloud AI if you are looking for better support to customize the AI / ML algorithms being used. Google Cloud AI does a better job than Microsoft Azur ML when customization is not needed but speed to market is needed. IBM Watson is on par with Google Cloud AI in certain verticals or even better, for example, healthcare.
July 11, 2018
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.
- 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
We decided to use the Google tool because it is better suited to our needs as a team. The other tools seemed very interesting to us, but what made us choose the Google tool is that with the others we would have had to have chosen another tool from the same provider in order to graph our data. With this tool, we do not.
18
We are an organization that is dedicated to financing projects of importance to the community. Because of that our team needs to constantly evaluate what the impact of our investments are and what is the vision of people funding our investments. With Google Cloud AI, we help our organization to be more effective and respond to the needs raised by our research team.
18
The professionals who are in charge of this application are all professionals in the areas that have to do with human behavior and its implications for the development of society. That is to say, this research department is dedicated more than anything to giving respect through the data provided by field research.
- 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
No
- Price
- Product Usability
- Product Reputation
- Prior Experience with the Product
- Vendor Reputation
Since we were already in the exchange of ideas to look and see how we could minimize the time of conducting interviews and field studies to text, we looked into some alternatives. The most talked about in our area of expertise were Google Cloud AI and Microsoft Azure. At this moment I checked availability, we decided to go with Google AI because we already used other Google tools and this application should work perfectly with these complementary tools.
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
The most important thing that we learned in the process of change management was that if one has an obstacle that requires the organization to have an absolute improvement we must always test the changes that the market offers us to contribute more of ourselves internally and externally.
- 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.
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