Overview
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 Rocks!!
Google Cloud AI Review
Hard to onboard, great API product from Google!
Google Cloud AI is flexible to boost our productivity quickly with minimal user implementation.
The right technology can help your business!
Awards
Products that are considered exceptional by their customers based on a variety of criteria win TrustRadius awards. Learn more about the types of TrustRadius awards to make the best purchase decision. More about TrustRadius Awards
Pricing
What is Google Cloud AI?
Google Cloud AI provides modern machine learning services, with pre-trained models and a service to generate tailored models.
Entry-level set up fee?
- No setup fee
Offerings
- Free Trial
- Free/Freemium Version
- Premium Consulting/Integration Services
Would you like us to let the vendor know that you want pricing?
63 people also want pricing
Alternatives Pricing
What is OpenAI API?
OpenAI headquartered in San Francisco, aims to ensure that artificial general intelligence benefits all of humanity. OpenAI’s API provides access to GPT-3, which performs a wide variety of natural language tasks, and Codex, which translates natural language to code.
What is IBM SPSS Modeler?
IBM SPSS Modeler is a visual data science and machine learning (ML) solution designed to help enterprises accelerate time to value by speeding up operational tasks for data scientists. Organizations can use it for data preparation and discovery, predictive analytics, model management and…
Product Details
- About
- Tech Details
What is Google Cloud AI?
Google Cloud AI Technical Details
Operating Systems | Unspecified |
---|---|
Mobile Application | No |
Comparisons
Compare with
Reviews and Ratings
(86)Attribute Ratings
Reviews
(1-3 of 3)Google Cloud AI Review
- 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.
Hard to onboard, great API product from Google!
- 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.
- 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.
The right technology can help your business!
- 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
- 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
- Price
- Product Usability
- Product Reputation
- Prior Experience with the Product
- Vendor Reputation
- Implemented in-house
- 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.
- the application is easy to use.
- It does not require a lot of training.
- it is easy to install
- we have not had problems