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
100 Plan to Renew
76 Satisfaction of Cost Relative to Value
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
Data Pre-Processing
Algorithm Diversity
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
Geoffrey M.
- Role: Information Technology
- Industry: Technology
- Involvement: IT Leader or Manager
Submitted Oct 2024
Great tool for AI development
Likeliness to Recommend
What differentiates Google Cloud Vertex AI from other similar products?
Google Cloud Vertex AI stands out due to its seamless integration with other Google Cloud services and its comprehensive suite of tools that support end-to-end AI development. Its focus on scalability and ease of use makes it appealing for organizations of all sizes.
What is your favorite aspect of this product?
My favorite aspect of Google Cloud Vertex AI is its intuitive interface that simplifies complex tasks, making it easier for teams to collaborate on AI projects. The extensive documentation and community support also enhance the overall experience.
What do you dislike most about this product?
One of the main drawbacks is that some advanced features can be complex to navigate, especially for newcomers. Additionally, the pricing structure may be confusing and could benefit from more transparency.
What recommendations would you give to someone considering this product?
I recommend thoroughly evaluating the features that align with your organization's needs before committing. Take advantage of trial periods to test the capabilities and assess whether they meet your expectations for scalability and integration.
Pros
- Continually Improving Product
- Reliable
- Performance Enhancing
- Trustworthy
Shane M.
- Role: Human Resources
- Industry: Technology
- Involvement: End User of Application
Submitted Aug 2024
To scale and deploy machine learning models.
Likeliness to Recommend
What differentiates Google Cloud Vertex AI from other similar products?
Data scientists' and developers' workflows are made simpler by Vertex AI, which centralizes a variety of machine learning tools and services. Model development and deployment are accelerated by the use of AutoML and MLOps features, which lessen the need for human interaction.
What is your favorite aspect of this product?
For monitoring machine learning experiments and storing model versions, datasets, and training configurations, I enjoy using Google Cloud Vertex AI.
What do you dislike most about this product?
Although it provides AutoML tools, to fully utilize its advanced capabilities, one may need to have specialist understanding of both Google Cloud and machine learning.
What recommendations would you give to someone considering this product?
For training bespoke models with frameworks like TensorFlow, PyTorch, and scikit-learn by uploading your own data and models to train in the cloud, I suggest Google Cloud Vertex AI.
Pros
- Helps Innovate
- Continually Improving Product
- Reliable
- Performance Enhancing
Yan G.
- Role: Sales Marketing
- Industry: Education
- Involvement: End User of Application
Submitted Aug 2024
A perfect machine learning software.
Likeliness to Recommend
What differentiates Google Cloud Vertex AI from other similar products?
Availability of pre built templates and intuitive software interface.
What is your favorite aspect of this product?
Availability of responsive technical support team and easy building up of artificial intelligence models.
What do you dislike most about this product?
The software is a great machine learning management platform. No aversion.
What recommendations would you give to someone considering this product?
I advocate doing enough research before making decision of implementing any software. This will ensure real business value and quality services.
Pros
- Performance Enhancing
- Enables Productivity
- Unique Features
- Effective Service
