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
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
- 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
