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
Issac P.
- Role: Information Technology
- Industry: Manufacturing
- Involvement: End User of Application
Submitted Jan 2023
Brilliant Scalable AI Solution from Google
Likeliness to Recommend
What differentiates Google Cloud Vertex AI from other similar products?
The AUTOML feature helps to easily train develop and release a model with no code, so users with low expertise in Data Science can use this product easily with minimal ML knowledge. Supports most of the open-source libraries such as Py torch OpenCV with easy import functionality.
What is your favorite aspect of this product?
The MLOPS feature such as Vertex AI pipeline makes it really easy to maintain and run existing ML models.
What do you dislike most about this product?
The cost is on the higher side. It's a high-cost platform and users should be aware of the cost before selecting the product.
What recommendations would you give to someone considering this product?
The product is customer centric and can solve all business problems revolving around ML /AI using it wide variety of features. Only be aware of the overall cost of the product as every additional service is charged based on usage.
Pros
- Helps Innovate
- Reliable
- Performance Enhancing
- Enables Productivity
Karthikeyan B.
- Role: Consultant
- Industry: Telecommunications
- Involvement: Business Leader or Manager
Submitted Jan 2023
Fantastic ML Service
Likeliness to Recommend
What differentiates Google Cloud Vertex AI from other similar products?
More trained Algorithms with definite ml architecture.
What is your favorite aspect of this product?
Ease to use and implement in ML pipeline.
What do you dislike most about this product?
None. The product is good
What recommendations would you give to someone considering this product?
Make use of it completely to gain more efficiency of the service
Pros
- Helps Innovate
- Continually Improving Product
- Reliable
- Performance Enhancing
Akash G.
- Role: Consultant
- Industry: Technology
- Involvement: End User of Application
Submitted Jan 2023
Fantastic product!
Likeliness to Recommend
What differentiates Google Cloud Vertex AI from other similar products?
Integration with other Google Cloud products, Support for a wide range of frameworks, AutoML and Strong focus on enterprise users
What is your favorite aspect of this product?
AutoML: Vertex AI includes AutoML, which is a suite of tools and services that make it easy for developers to build and deploy machine learning models without having to have advanced machine learning expertise. This can be particularly useful for developers who are new to machine learning or who want to build models quickly without having to spend a lot of time on model development.
What do you dislike most about this product?
I found cost to be one thing.
What recommendations would you give to someone considering this product?
It's important to keep in mind that no product is perfect, and Google Cloud Vertex AI is no exception. Different products will meet the needs of different users to varying degrees, and it's important to carefully consider your specific requirements and needs when evaluating any product. I recommend doing your own research and carefully evaluating Google Cloud Vertex AI to determine whether it is the right fit for your needs.
Pros
- Helps Innovate
- Continually Improving Product
- Reliable
- Performance Enhancing
