TrustRadius
GoogleHard to onboard, great API product from Google!2019-01-24T04:12:47.324ZWe 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.,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.,8,Positive - We offset the processing power we needed locally by moving Cloud Vision and ML processing to cloud APIs.
Negative - Pricing. This was expensive to setup at the beginning, but later, the price of this API became more constant.
Negative - There was quite a difficult learning curve for this product, one that took a lot of time to figure out.,Microsoft Azure Machine Learning Workbench,IBM Watson IoT, IBM Watson Explorer, TensorFlowFedor ParetskyGoogle Cloud AI is flexible to boost our productivity quickly with minimal user implementation.2019-01-17T18:59:03.831ZSome 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.,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'.,8,Artificial intelligence and automation seems 'free' and draws the organization in, without seeming to spend a lot of funds. A positive impact, but who is actually tracking the cost?
We want our employees to use it, but many resist technology or are scared of it, so we need a way to make them feel more comfortable with the AI.
The ROI seems positive since we are full in with Google, and the tools come along with the functionality.,Google Drive, Google Search Console and Amazon Cloud Drive,Oracle Financials, Oracle Hyperion Enterprise Performance Management, Workday Human Capital ManagementVerified UserThe right technology can help your business!2018-07-11T21:24:09.233ZThis 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,10Marlon SeijasStrong, solid offering by Google2018-03-21T01:51:16.047ZWe 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 ComposeVerified User
Unspecified
Google Cloud AI
24 Ratings
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