What is Google Cloud Vertex AI?
Cloud Machine Learning Engine is a managed service that lets developers and data scientists build and run superior machine learning models in production. Cloud ML Engine offers training and prediction services, which can be used together or individually. It has been used by enterprises to solve problems ranging from identifying clouds in satellite images, ensuring food safety, and responding four times faster to customer emails. The training and prediction services within ML Engine are now referred to as AI Platform Training and AI Platform Prediction.
Company Details
Need Assistance?
We're here to help you with understanding our reports and the data inside to help you make decisions.
Get AssistanceGoogle Cloud Vertex AI Ratings
Real user data aggregated to summarize the product performance and customer experience.
Download the entire Product Scorecard
to access more information on Google Cloud Vertex AI.
Product scores listed below represent current data. This may be different from data contained in reports and awards, which express data as of their publication date.
89 Likeliness to Recommend
1
Since last award
100 Plan to Renew
1
Since last award
76 Satisfaction of Cost Relative to Value
1
Since last award
Emotional Footprint Overview
Product scores listed below represent current data. This may be different from data contained in reports and awards, which express data as of their publication date.
+92 Net Emotional Footprint
The emotional sentiment held by end users of the software based on their experience with the vendor. Responses are captured on an eight-point scale.
How much do users love Google Cloud Vertex AI?
Pros
- Inspires Innovation
- Performance Enhancing
- Effective Service
- Respectful
How to read the Emotional Footprint
The Net Emotional Footprint measures high-level user sentiment towards particular product offerings. It aggregates emotional response ratings for various dimensions of the vendor-client relationship and product effectiveness, creating a powerful indicator of overall user feeling toward the vendor and product.
While purchasing decisions shouldn't be based on emotion, it's valuable to know what kind of emotional response the vendor you're considering elicits from their users.
Footprint
Negative
Neutral
Positive
Feature Ratings
Model Training
Data Exploration and Visualization
Data Labeling
Feature Engineering
Explainability
Data Ingestion
Openness and Flexibility
Pre-Packaged AI/ML Services
Model Monitoring and Management
Algorithm Diversity
Data Pre-Processing
Vendor Capability Ratings
Quality of Features
Ease of Data Integration
Ease of Implementation
Ease of Customization
Ease of IT Administration
Business Value Created
Breadth of Features
Vendor Support
Availability and Quality of Training
Product Strategy and Rate of Improvement
Usability and Intuitiveness
Google Cloud Vertex AI Reviews
Iyer A.
- Role: Sales Marketing
- Industry: Transportation
- Involvement: Business Leader or Manager
Submitted Mar 2024
Seamless Implementation, Medium Cost.
Likeliness to Recommend
What differentiates Google Cloud Vertex AI from other similar products?
The main fact that google operates this means customer service, general guides, are all available at the drop of a hat. It was very easy for us to integrate this as the google suite employs many of our daily software anyway. Wide variety of inputs are acceptable. wide variety of AI models as well. Significantly faster process than other products tried.
What is your favorite aspect of this product?
The speed of setup, and time to a finished result was almost 50% less time consumed.
What do you dislike most about this product?
The price tag is a bit much.
What recommendations would you give to someone considering this product?
If you have unlimited budget, and only a light understanding of the services needed, this is a GREAT first choice.
Pros
- Reliable
- Enables Productivity
- Trustworthy
- Efficient Service
Abhiraj B.
- Role: Student Academic
- Industry: Engineering
- Involvement: End User of Application
Submitted Mar 2024
Excellent Tool :
Likeliness to Recommend
What differentiates Google Cloud Vertex AI from other similar products?
Google Cloud Vertex AI stands apart from others for its versatility and ease of integration with other google technologies, like GC Bucket or Big Query along with this AI
What is your favorite aspect of this product?
My favourite aspect of this product is its pre trained models and ample examples available for learning purposes..
What do you dislike most about this product?
Restarting a kernel is a problematic issue. Often causes problems in the notebook.
What recommendations would you give to someone considering this product?
Definitely worth investing in if you have priorities in streamlining certain jobs, or seamlessly analysing data using existing AI Models.
Pros
- Helps Innovate
- Reliable
- Enables Productivity
- Trustworthy
Atmanand M.
- Role: Student Academic
- Industry: Education
- Involvement: IT Development, Integration, and Administration
Submitted Mar 2024
The Best AI/ML Service for startups
Likeliness to Recommend
What differentiates Google Cloud Vertex AI from other similar products?
The highlighting features such as easy data importing, AutoML and AutoML Edge and obviously the extensive feature rich Custom model training options. Also, other features like various APIs integration and support makes it unique compared to the other products in the market.
What is your favorite aspect of this product?
The AutoML Edge option for model training is definitely my favorite feature in this product. This is one of the best feature which has helped me to carry out the task I wanted to achieve in my specific application. Since the final model was to be deployed on low-end devices in my project, this has helped a lot to achieve it.
What do you dislike most about this product?
Honestly, there is nothing to dislike about the product at all. Initially I thought the price is a little high, but considering the so many features this product provides both directly and indirectly, it really is a value for money.
What recommendations would you give to someone considering this product?
I would suggest to just try out the trial version, which is also another feature of Google Cloud, to which I am really thankful of. It will help you to test out your specific application, and will help you to make a concise decision for your specific task by exploring the whole platform conveniently. Guaranteed, you will love the product.
Pros
- Helps Innovate
- Continually Improving Product
- Reliable
- Performance Enhancing
