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
+91 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
- Reliable
- Performance Enhancing
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
Pre-Packaged AI/ML Services
Explainability
Data Labeling
Openness and Flexibility
Model Monitoring and Management
Data Ingestion
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
Usability and Intuitiveness
Product Strategy and Rate of Improvement
Google Cloud Vertex AI Reviews
Ketan S.
- Role: Information Technology
- Industry: Engineering
- Involvement: IT Leader or Manager
Submitted Mar 2024
Variety of services and good customer support
Likeliness to Recommend
What differentiates Google Cloud Vertex AI from other similar products?
1. Provides custom model development and easy to use services 2. Easy integration with other google services 3. variety of pre-built AI services
What is your favorite aspect of this product?
Majorly I have worked in AI Workbench, which really helped me to play around with the datasets easily.
What do you dislike most about this product?
Would love if they add an AI recommendation services which will make developers life easier.
What recommendations would you give to someone considering this product?
Easy to use and lovely customer support. If you want to build and manage an end-to-end AI solution rapidly then go for it.
Pros
- Enables Productivity
- Caring
- Saves Time
- Helps Innovate
Niharika M.
- Role: Information Technology
- Industry: Engineering
- Involvement: IT Leader or Manager
Submitted Mar 2024
I really like it and it is easy to use.
Likeliness to Recommend
What differentiates Google Cloud Vertex AI from other similar products?
its response time and flexibility to deal with any challenges and it'll handle easily
What is your favorite aspect of this product?
real time response while dealing anything
What do you dislike most about this product?
nothing to dislike all services is good
What recommendations would you give to someone considering this product?
try it once i really like this product everything is good in this platform
Pros
- Helps Innovate
- Continually Improving Product
- Enables Productivity
- Trustworthy
Bharti K.
- Role: Finance
- Industry: Finance
- Involvement: Business Leader or Manager
Submitted Mar 2024
Powerful ML platform with seamless integration
Likeliness to Recommend
What differentiates Google Cloud Vertex AI from other similar products?
Google Cloud Vertex AI is distinguished by its deep integration with Google Cloud, providing a seamless experience for ML development and deployment. Its unified platform simplifies the entire ML lifecycle, offering both AutoML for quick model development and custom model training with TensorFlow for advanced users. This integration enables easy scalability and efficiency, with access to additional Google Cloud services for enhanced functionality.
What is your favorite aspect of this product?
My favorite aspect of Google Cloud Vertex AI is its seamless integration with other Google Cloud services. This integration makes it easy to leverage additional functionalities like data storage, processing, and analysis, all within the same platform. It streamlines the ML development process and allows for efficient scaling of ML workloads.
What do you dislike most about this product?
I dislike the complexity of setting up and managing ML workflows, especially for those new to machine learning. Additionally, the cost of using Google Cloud Vertex AI, especially for large-scale projects, could be a concern for some users.
What recommendations would you give to someone considering this product?
For those considering Google Cloud Vertex AI, I recommend starting with its AutoML features for easy model development. Leverage the integration with other Google Cloud services for enhanced functionality and cost-effectiveness. Be mindful of costs for large-scale projects and explore documentation for guidance. For advanced needs, utilize custom model training with TensorFlow. Scalability is a key advantage, ensuring models can grow with your business.
Pros
- Reliable
- Performance Enhancing
- Enables Productivity
- Effective Service
Cons
- Less Friendly Negotiation
- Vendor's Interest First