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
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Real user data aggregated to summarize the product performance and customer experience.
Download the entire Product Scorecard
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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
98 Plan to Renew
79 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.
+94 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
- Performance Enhancing
- Reliable
- Inspires Innovation
- 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
Explainability
Model Monitoring and Management
Pre-Packaged AI/ML Services
Feature Engineering
Data Ingestion
Data Labeling
Openness and Flexibility
Model Tuning
Algorithm Diversity
Vendor Capability Ratings
Ease of Customization
Quality of Features
Ease of Implementation
Ease of Data Integration
Ease of IT Administration
Business Value Created
Breadth of Features
Availability and Quality of Training
Vendor Support
Product Strategy and Rate of Improvement
Usability and Intuitiveness
Google Cloud Vertex AI Reviews
- Role: Information Technology
- Industry: Insurance
- Involvement: IT Development, Integration, and Administration
Submitted Oct 2020
A solid ML solution
Likeliness to Recommend
Pros
- Enables Productivity
- Helps Innovate
- Continually Improving Product
- Reliable
dalhatu m.
- Role: Student Academic
- Industry: Agriculture
- Involvement: Business Leader or Manager
Submitted Mar 2020
very interested very good. and google is the most.
Likeliness to Recommend
What differentiates Google Cloud Vertex AI from other similar products?
is very secure.
What is your favorite aspect of this product?
architecture
What do you dislike most about this product?
nothing yet.
What recommendations would you give to someone considering this product?
i should advice to use the google products always in your organization
Pros
- Helps Innovate
- Continually Improving Product
- Reliable
- Performance Enhancing
