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
Janhavi F.
- Role: Sales Marketing
- Industry: Technology
- Involvement: IT Development, Integration, and Administration
Submitted Mar 2024
Fantastic product
Likeliness to Recommend
What differentiates Google Cloud Vertex AI from other similar products?
Very unique
What is your favorite aspect of this product?
It provides MLops tools
What do you dislike most about this product?
Very large image which may slow down run time
What recommendations would you give to someone considering this product?
Customize large language modules
Pros
- Helps Innovate
- Continually Improving Product
- Performance Enhancing
- Enables Productivity
Puneet S.
- Role: Information Technology
- Industry: Engineering
- Involvement: IT Leader or Manager
Submitted Mar 2024
Interactive Platform for Beginners
Likeliness to Recommend
What differentiates Google Cloud Vertex AI from other similar products?
Vertex AI from Google Cloud stands out due to its user-friendly interface, making machine learning accessible even to those without extensive expertise. Its advanced Auto ML features empower users to create high-quality models effortlessly, saving time and resources. Additionally, Vertex AI's seamless integration with Google Cloud services streamlines the entire ML workflow, enhancing efficiency and collaboration.
What is your favorite aspect of this product?
As a user I really appreciate Vertex AI's ability to democratize machine learning. Its user-friendly interface and powerful Auto ML features make complex tasks accessible to everyone, regardless of their expertise. Moreover, Vertex AI's seamless integration with Google Cloud services simplifies the entire process, allowing users to focus on innovation rather than logistical challenges.
What do you dislike most about this product?
One common concern could be the learning curve associated with leveraging its full potential. Despite its user-friendly interface, mastering all the features and capabilities might require significant time and effort, especially for those new to machine learning. Overall, while Vertex AI offers impressive capabilities, addressing these potential challenges could further enhance its accessibility and user satisfaction.
What recommendations would you give to someone considering this product?
Firstly understand why do you need this product, check weather your requirements are met by using this product. Experiment with the free tier or trial options to get a feel for how Vertex AI aligns with your specific use cases. Additionally, don't hesitate to reach out to the community or seek guidance from experts if you encounter any challenges or have questions. Collaborating with others can provide valuable insights and support as you navigate the learning curve.
Pros
- Continually Improving Product
- Saves Time
- Fair
- Transparent
Vijayraj H.
- Role: Information Technology
- Industry: Technology
- Involvement: End User of Application
Submitted Mar 2024
Streamlined and Powerful, star AI platform
Likeliness to Recommend
What differentiates Google Cloud Vertex AI from other similar products?
Google Cloud Vertex AI distinguishes itself through its comprehensive suite of features, offering a unified environment for ML development, advanced AutoML capabilities, seamless integration with Google Cloud services, scalability, and robust monitoring functionality.
What is your favorite aspect of this product?
A standout feature of Google Vertex AI is its powerful AutoML capabilities, which enable users to create custom machine learning models with ease. This empowers developers with varying levels of expertise to leverage advanced machine learning techniques and create high-quality models tailored to their specific needs and requirements.
What do you dislike most about this product?
One aspect of Google Vertex AI that users may find challenging is the complexity of its pricing structure. Understanding and managing costs within the Google Cloud ecosystem, including Vertex AI, can be intricate and potentially lead to unexpected expenses if not carefully monitored. Additionally, users might find it difficult to predict and optimize their expenditure, especially when dealing with fluctuating resource usage or scaling requirements within their machine learning projects.
Pros
- Continually Improving Product
- Reliable
- Performance Enhancing
- Unique Features
