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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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
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Since last award
100 Plan to Renew
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Since last award
76 Satisfaction of Cost Relative to Value
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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
- Role: Information Technology
- Industry: Technology
- Involvement: Business Leader or Manager
Submitted Nov 2022
Fantastic product
Likeliness to Recommend
Pros
- Continually Improving Product
- Enables Productivity
- Unique Features
- Efficient Service
Sahil K.
- Role: Information Technology
- Industry: Energy
- Involvement: End User of Application
Submitted Sep 2022
" Low code Machine learning tool"
Likeliness to Recommend
What differentiates Google Cloud Vertex AI from other similar products?
Google cloud ML engine stand out from other because of 1) Low coding 2) Computer Vision 3) Natural Language Processing 4) Large data processing 5) Less Learning time 6) Model efficiency monitoring 7) Sustainable ML model 8) Model deployment is easy 9) Data processing in Real time
What is your favorite aspect of this product?
1) Pre built Model 2) Computer Vision 3) Natural Language Processing 4) Natural Language Generation
What do you dislike most about this product?
Learning time of computer vision
What recommendations would you give to someone considering this product?
It is great as you do not need to want to spend time customizing AI libraries and algorithms and data will already be in Cloud - Easy Integration with google BigQuery and google Pubsub that makes it easy to have a ready to use pipeline from data ingestion to analysis - Its CV algorithms and video processing modules makes it easy to use image/video processing application and use cases
Pros
- Helps Innovate
- Reliable
- Performance Enhancing
- Enables Productivity
Ashay S.
- Role: Information Technology
- Industry: Finance
- Involvement: IT Development, Integration, and Administration
Submitted Feb 2023
Best Cloud MLOPS solution provider
Likeliness to Recommend
What differentiates Google Cloud Vertex AI from other similar products?
One of the great features is availability of more flexible and cheaper choice to combine GPU instances with powerful CPU which is especially helpful for Deep learning tasks It also has a simple feature that is shows all the instances in every region on the main console so you don't end up running VM in a different region and forget to close that as in some other providers , it improves ease of use and customer experience.
What is your favorite aspect of this product?
The best aspect is the availability of ML algorithms and integration with Cloud tools especially BigQuery which allows best method to collaborate on a data project and can handle very large amount of data
What do you dislike most about this product?
In my use I have found it to be more than helpful but it does lack in the ability to customize the algorithms for a complex tasks , it would be great if it allowed used of customized trained models.
What recommendations would you give to someone considering this product?
It is a great tool , which offers lots of tools which can help people with very little technical background to operate it for analyzing their data, getting insights , making predictions, etc.
Pros
- Helps Innovate
- Continually Improving Product
- Reliable
- Enables Productivity
