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.
88 Likeliness to Recommend
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Since last award
97 Plan to Renew
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Since last award
81 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.
+94 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
- Respectful
- Reliable
- Efficient Service
- Inspires Innovation
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
Pre-Packaged AI/ML Services
Model Training
Feature Engineering
Explainability
Model Monitoring and Management
Openness and Flexibility
Model Tuning
Data Exploration and Visualization
Data Ingestion
Data Labeling
Algorithm Diversity
Vendor Capability Ratings
Ease of Customization
Quality of Features
Ease of Implementation
Ease of Data Integration
Breadth of Features
Business Value Created
Ease of IT Administration
Availability and Quality of Training
Vendor Support
Product Strategy and Rate of Improvement
Usability and Intuitiveness
Google Cloud Vertex AI Reviews
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
- 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
Atmanand M.
- Role: Student Academic
- Industry: Education
- Involvement: IT Development, Integration, and Administration
Submitted Mar 2024
The Best AI/ML Service for startups
Likeliness to Recommend
What differentiates Google Cloud Vertex AI from other similar products?
The highlighting features such as easy data importing, AutoML and AutoML Edge and obviously the extensive feature rich Custom model training options. Also, other features like various APIs integration and support makes it unique compared to the other products in the market.
What is your favorite aspect of this product?
The AutoML Edge option for model training is definitely my favorite feature in this product. This is one of the best feature which has helped me to carry out the task I wanted to achieve in my specific application. Since the final model was to be deployed on low-end devices in my project, this has helped a lot to achieve it.
What do you dislike most about this product?
Honestly, there is nothing to dislike about the product at all. Initially I thought the price is a little high, but considering the so many features this product provides both directly and indirectly, it really is a value for money.
What recommendations would you give to someone considering this product?
I would suggest to just try out the trial version, which is also another feature of Google Cloud, to which I am really thankful of. It will help you to test out your specific application, and will help you to make a concise decision for your specific task by exploring the whole platform conveniently. Guaranteed, you will love the product.
Pros
- Helps Innovate
- Continually Improving Product
- Reliable
- Performance Enhancing
