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.
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88 Likeliness to Recommend
1
Since last award
99 Plan to Renew
1
Since last award
75 Satisfaction of Cost Relative to Value
3
Since last award
Emotional Footprint Overview
+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
- Respectful
- Performance Enhancing
- Effective Service
Emotional Footprint
How to Read
Positive
Neutral
Negative
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
Feature Ratings
Model Training
Data Exploration and Visualization
Feature Engineering
Openness and Flexibility
Pre-Packaged AI/ML Services
Explainability
Data Labeling
Model Monitoring and Management
Data Ingestion
Data Pre-Processing
Algorithm Diversity
Vendor Capability Ratings
Ease of Implementation
Quality of Features
Ease of Data Integration
Ease of Customization
Business Value Created
Ease of IT Administration
Breadth of Features
Availability and Quality of Training
Vendor Support
Product Strategy and Rate of Improvement
Usability and Intuitiveness
Google Cloud Vertex AI Reviews
Anil T.
- Role: Information Technology
- Industry: Technology
- Involvement: IT Development, Integration, and Administration
Submitted May 2023
Ecellent Service B oole Cloud
Likeliness to Recommend
What differentiates Google Cloud Vertex AI from other similar products?
It is a powerful and flexible machine learning platform that simplifies the entire machine learning workflow, allowing you to build and deploy custom machine learning models with ease.
What is your favorite aspect of this product?
a range of features to help you manage and monitor your machine learning models in production, including built-in model monitoring and explainability tools, as well as integration with Google Cloud's logging and monitoring tools.
What do you dislike most about this product?
Nothing to dislike as per my knowledge and eperience.
What recommendations would you give to someone considering this product?
I hihly recommend people to use it.
Pros
- Continually Improving Product
- Performance Enhancing
- Enables Productivity
- Effective Service
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
