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
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Since last award
100 Plan to Renew
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76 Satisfaction of Cost Relative to Value
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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
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
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
Tushar M.
- Role: Information Technology
- Industry: Technology
- Involvement: IT Development, Integration, and Administration
Submitted Mar 2024
Powerful but pricey AI solution.
Likeliness to Recommend
What differentiates Google Cloud Vertex AI from other similar products?
Google Cloud Vertex stands out due to its streamlined workflow for machine learning tasks offering autoML capabilities, pre-trained models, and unified Al platform integration. It’s ease of use, scalability, and comprehensive feature set distinguish, making AI development accessible and efficient for business of all size.
What is your favorite aspect of this product?
My favourite aspect of Google Cloud Vertex AI is its user friendly interface and seamless integration, making complex AI tasks accessible to everyone.
What do you dislike most about this product?
The pricing structure can be complex and potentially expensive for heavy usage, limiting accessibility for smaller businesses or startups.
What recommendations would you give to someone considering this product?
For optimal utilisation, I recommend thoroughly exploring the pricing structure, leveraging available documentation and supports resources, and starting with smaller scale projects to gauge cost effectiveness and suitability for a specific needs.
Pros
- Helps Innovate
- Continually Improving Product
- Reliable
- Enables Productivity
