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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89 Likeliness to Recommend
1
Since last award
100 Plan to Renew
1
Since last award
76 Satisfaction of Cost Relative to Value
1
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
- 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
Vijay K.
- Role: Information Technology
- Industry: Technology
- Involvement: IT Development, Integration, and Administration
Submitted Mar 2024
Excellent Product
Likeliness to Recommend
What differentiates Google Cloud Vertex AI from other similar products?
Google Cloud Vertex AI stands out with its integrated platform for end-to-end machine learning, offering AutoML capabilities, custom model training, managed services for deployment, and seamless integration with Google Cloud services. It simplifies the ML lifecycle, enabling users to build, deploy, and manage models efficiently while catering to various use cases and scalability needs.
What is your favorite aspect of this product?
My favorite aspect of this product is its seamless integration across the entire machine learning lifecycle. From data preparation to model deployment and monitoring, Vertex AI offers a cohesive platform that streamlines the process.
What do you dislike most about this product?
While Google Cloud Vertex AI offers a comprehensive suite of features, one potential drawback is its pricing structure, which may be prohibitive for smaller projects or organizations with limited budgets.
What recommendations would you give to someone considering this product?
I'd recommend thoroughly assessing your project's requirements and budget constraints. Start by leveraging the platform's free tier and trial offerings to explore its capabilities and determine its suitability for your specific use case.
Pros
- Reliable
- Helps Innovate
- Continually Improving Product
- Performance Enhancing
Gaurav C.
- Role: Information Technology
- Industry: Technology
- Involvement: IT Development, Integration, and Administration
Submitted Mar 2024
Seamless integration of the product
Likeliness to Recommend
What differentiates Google Cloud Vertex AI from other similar products?
The single platform, scalability, pre-built models and APIs, automated machine learning (AutoML), smooth connection with Google Cloud services, and powerful model monitoring and administration features of Google Cloud Vertex AI set it apart.
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, which streamlines the entire machine learning workflow and enhances productivity.
What do you dislike most about this product?
The learning curve connected to Google Cloud Vertex AI's many features and capabilities is one such feature that I might find difficult. Although the platform provides a single machine learning solution, it may take a considerable amount of time and effort to fully understand its complexities and utilise its sophisticated functions. Additionally, controlling the expenditures related to utilising Vertex AI may be difficult, depending on the demands of the project and available funds.
What recommendations would you give to someone considering this product?
I'd recommend starting with the basics, leveraging documentation and tutorials, experimenting with pre-built models, understanding pricing, seeking community support, and staying updated with new features to make the most of Google Cloud Vertex AI.
Pros
- Reliable
- Performance Enhancing
- Enables Productivity
- Trustworthy
DEV L.
- Role: Human Resources
- Industry: Utilities
- Involvement: Business Leader or Manager
Submitted Mar 2024
Unified Plateform Seamless data-AI integration
Likeliness to Recommend
What differentiates Google Cloud Vertex AI from other similar products?
Google Cloud Vertex AI offers me seamless operations for data preparation, model training and monitoring
What is your favorite aspect of this product?
My favourite aspect of this product is its simplicity and scalability which helps me in efficient infrastructure development
What do you dislike most about this product?
I dislike the size of the images who’s is usually large like panoramas which take time to render and slow down the overall runtime
What recommendations would you give to someone considering this product?
I would recommend this coz it reduces the complexity of managing different components and services separately. It’s like vast variety under single roof
Pros
- Helps Innovate
- Continually Improving Product
- Reliable
- Efficient Service
