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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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
+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
Kundan S.
- Role: Consultant
- Industry: Technology
- Involvement: IT Development, Integration, and Administration
Submitted Mar 2024
Image generation & editing using GEN AI is best.
Likeliness to Recommend
What differentiates Google Cloud Vertex AI from other similar products?
I just love it's capabilities regarding Imagen 2. Image generations and image updation using Generative AI is the best.
What is your favorite aspect of this product?
Capabilities and results
What do you dislike most about this product?
Cost and support or documentation
What recommendations would you give to someone considering this product?
Take care about costing and firstly compare the required features with the competitors
Pros
- Continually Improving Product
- Trustworthy
- Unique Features
- Efficient Service
- Role: Information Technology
- Industry: Retail
- Involvement: IT Leader or Manager
Submitted Mar 2024
Easy to customize and and easy to implement.
Likeliness to Recommend
Pros
- Continually Improving Product
- Performance Enhancing
- Enables Productivity
- Trustworthy
Devesh R.
- Role: C-Level
- Industry: Food and Beverage
- Involvement: IT Leader or Manager
Submitted Mar 2024
Easy to use, but a bit pricey.
Likeliness to Recommend
What differentiates Google Cloud Vertex AI from other similar products?
I didn't use any other similar products from Google Cloud Vertex AI.
What is your favorite aspect of this product?
It simplifies ML with seamless integration, AutoML, and a unified interface.
What do you dislike most about this product?
It might find the pricing structure of cloud-based ML platforms to be complex or potentially expensive, depending on their usage patterns and requirements.
What recommendations would you give to someone considering this product?
Explore tutorials, start small, use AutoML, mind costs, and seek support.
Pros
- Reliable
- Performance Enhancing
- Enables Productivity
- Unique Features