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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Since last award
76 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.
+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
Atharva V.
- Role: Information Technology
- Industry: Technology
- Involvement: IT Development, Integration, and Administration
Submitted Apr 2024
Exciting Potential of Vertex AI
Likeliness to Recommend
What differentiates Google Cloud Vertex AI from other similar products?
Google Cloud Vertex AI is unique because it easily fits into Google Cloud's setup, making it simple to work with services such as BigQuery and TensorFlow. Plus, its automated machine learning tools make it easier for users at any skill level to build models, simplifying everything from preparing data to putting models into implementation.
What is your favorite aspect of this product?
What I really like about this product is how easily it works alongside other Google Cloud services, making everything flow more smoothly. Also, the automated machine learning tools are a big help in simplifying the process of building models, especially for someone like me.
What do you dislike most about this product?
My biggest issue with this product is its lack of support for some advanced customization choices. Also, I find the pricing a bit confusing and high.
What recommendations would you give to someone considering this product?
Use the trial to test its features and gather feedback from other users to make an decision.
Pros
- Helps Innovate
- Enables Productivity
- Unique Features
- Inspires Innovation
Cons
- Less Generous
Kumar A.
- Role: Information Technology
- Industry: Engineering
- Involvement: End User of Application
Submitted Mar 2024
Awesome and user friendly
Likeliness to Recommend
What differentiates Google Cloud Vertex AI from other similar products?
Google Cloud Vertex AI stands out from other similar products with its unified platform offering end-to-end machine learning lifecycle management, streamlined model development workflows, automated hyperparameter tuning, built-in model deployment, and integration with Google Cloud's powerful infrastructure and AI capabilities, all aimed at accelerating AI adoption and deployment for businesses.
What is your favorite aspect of this product?
one notable aspect of Google Cloud Vertex AI is its comprehensive suite of tools and services that streamline the entire machine learning lifecycle, making it easier for developers and data scientists to build, train, deploy, and manage AI models efficiently.
What do you dislike most about this product?
I dont have any dislike about this
What recommendations would you give to someone considering this product?
For someone considering Google Cloud Vertex AI, I would recommend thoroughly exploring its features and capabilities to ensure they align with your specific use case and requirements. Additionally, take advantage of available documentation, tutorials, and support resources to maximize the benefits of the platform. It's also advisable to start with small projects or proofs of concept to familiarize yourself with the platform before scaling up to larger deployments. Lastly, consider factors such as cost, integration with existing workflows, and potential future scalability when making your decision.
Pros
- Helps Innovate
- Continually Improving Product
- Reliable
- Performance Enhancing
Vaibhav M.
- Role: C-Level
- Industry: Agriculture
- Involvement: IT Leader or Manager
Submitted Mar 2024
easy for the integration it provides so many free
Likeliness to Recommend
What differentiates Google Cloud Vertex AI from other similar products?
Vertex AI provides a unified platform that seamlessly integrates data preparation, model training, deployment, and monitoring
What is your favorite aspect of this product?
develop high-quality models with less manual intervention.
What do you dislike most about this product?
Learning curve - requires an understanding of both generative ai and vertex ai concepts
What recommendations would you give to someone considering this product?
All-in-One We love it since now it can brings everything together under one roof of GCP, our team member can focus on one
Pros
- Helps Innovate
- Continually Improving Product
- Enables Productivity
- Trustworthy
