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.
88 Likeliness to Recommend
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Since last award
97 Plan to Renew
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Since last award
81 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.
+94 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
- Respectful
- Reliable
- Efficient Service
- Inspires Innovation
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
Pre-Packaged AI/ML Services
Model Training
Feature Engineering
Explainability
Model Monitoring and Management
Openness and Flexibility
Model Tuning
Data Exploration and Visualization
Data Ingestion
Data Labeling
Algorithm Diversity
Vendor Capability Ratings
Ease of Customization
Quality of Features
Ease of Implementation
Ease of Data Integration
Breadth of Features
Business Value Created
Ease of IT Administration
Availability and Quality of Training
Vendor Support
Product Strategy and Rate of Improvement
Usability and Intuitiveness
Google Cloud Vertex AI Reviews
Shivam K.
- Role: Information Technology
- Industry: Technology
- Involvement: IT Development, Integration, and Administration
Submitted Mar 2024
Easy to use, but a bit pricey.
Likeliness to Recommend
What differentiates Google Cloud Vertex AI from other similar products?
Google Cloud Vertex AI provides a unified AI platform for building, deploying, and managing machine learning models, offering autoML capabilities, and supporting TensorFlow, PyTorch, and XGBoost.
What is your favorite aspect of this product?
Google Cloud Vertex AI is its ability to simplify and streamline the machine learning workflow, making it easier for developers to build and deploy models.
What do you dislike most about this product?
Pricing of Google Cloud Vertex AI to be a bit complex or expensive, depending on their usage needs.
What recommendations would you give to someone considering this product?
1. Start with the free tier or use the pricing calculator to estimate costs.
Pros
- Helps Innovate
- Reliable
- Performance Enhancing
- Enables Productivity
Shivam V.
- Role: Information Technology
- Industry: Technology
- Involvement: IT Development, Integration, and Administration
Submitted Mar 2024
Efficient, but watch out for pricing.
Likeliness to Recommend
What differentiates Google Cloud Vertex AI from other similar products?
By seamlessly integrating tools for model creation, training, and deployment, Google Cloud Vertex AI increases accessibility to machine learning. The process is made simpler overall, freeing users to concentrate on problem-solving instead of infrastructure management.
What is your favorite aspect of this product?
One cool thing about Google Cloud Vertex AI is that it's easy to use and helps people who build and study machine learning to do their work better and faster because it has a simple layout and organized steps.
What do you dislike most about this product?
I find the pricing structure of Google Cloud Vertex AI complex or potentially costly, depending on their usage patterns and needs.
What recommendations would you give to someone considering this product?
Before using Google Cloud Vertex AI, take into account your ML requirements and financial constraints. To determine applicability and cost-effectiveness, start with smaller initiatives and make use of the resources that are available.
Pros
- Helps Innovate
- Continually Improving Product
- Reliable
- Performance Enhancing
Iyer A.
- Role: Sales Marketing
- Industry: Transportation
- Involvement: Business Leader or Manager
Submitted Mar 2024
Seamless Implementation, Medium Cost.
Likeliness to Recommend
What differentiates Google Cloud Vertex AI from other similar products?
The main fact that google operates this means customer service, general guides, are all available at the drop of a hat. It was very easy for us to integrate this as the google suite employs many of our daily software anyway. Wide variety of inputs are acceptable. wide variety of AI models as well. Significantly faster process than other products tried.
What is your favorite aspect of this product?
The speed of setup, and time to a finished result was almost 50% less time consumed.
What do you dislike most about this product?
The price tag is a bit much.
What recommendations would you give to someone considering this product?
If you have unlimited budget, and only a light understanding of the services needed, this is a GREAT first choice.
Pros
- Reliable
- Enables Productivity
- Trustworthy
- Efficient Service
