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Google Cloud Vertex AI

Composite Score
8.7 /10
CX Score
8.9 /10
Category
Google Cloud Vertex AI
8.7 /10

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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Awards & Recognition

Google Cloud Vertex AI won the following awards in the Machine Learning Platforms category

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Google Cloud Vertex AI Ratings

Real user data aggregated to summarize the product performance and customer experience.
Download the entire Product Scorecard to access more information on Google Cloud Vertex AI.

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

1
Since last award

100 Plan to Renew

1
Since last award

76 Satisfaction of Cost Relative to Value

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Since last award


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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?

3% Negative
3% Neutral
94% Positive

Pros

  • Inspires Innovation
  • Performance Enhancing
  • Effective Service
  • Respectful

Feature Ratings

Average 81

Model Training

83

Data Exploration and Visualization

82

Data Labeling

82

Feature Engineering

82

Explainability

82

Data Ingestion

81

Openness and Flexibility

81

Pre-Packaged AI/ML Services

81

Model Monitoring and Management

81

Algorithm Diversity

80

Data Pre-Processing

80

Vendor Capability Ratings

Average 78

Quality of Features

82

Ease of Data Integration

81

Ease of Implementation

81

Ease of Customization

81

Ease of IT Administration

79

Business Value Created

78

Breadth of Features

77

Vendor Support

77

Availability and Quality of Training

76

Product Strategy and Rate of Improvement

75

Usability and Intuitiveness

74

Google Cloud Vertex AI Reviews

Abhay C.

  • Role: Information Technology
  • Industry: Technology
  • Involvement: IT Development, Integration, and Administration
Validated Review
Verified Reviewer

Submitted Mar 2024

Effortlessly AI Empowering AI Projects with ease.

Likeliness to Recommend

8 /10

What differentiates Google Cloud Vertex AI from other similar products?

Google Cloud Vertex AI sets itself apart by seamlessly integrating with Google Cloud's ecosystem, offering easy to use AutoML features, pre - trained models, scalability and strong support for MLOps practices, making it a comprehensive and user - friendly choice for AI projects.

What is your favorite aspect of this product?

My favorite aspect of Google Cloud Vertex AI is its user - friendly interface, which makes it easy for both seasoned data scientists and newcomers to machine learning to navigate and utilize it's powerful tools effectively.

What do you dislike most about this product?

Somewhat I have found Google Cloud vertex AI pricing structure complex, which could lead to confusion or unexpected costs. Additionally, while platform offers a comprehensive set of features there may be Occasional gaps in documentation or support for very specific or niche use cases, which can be frustrating for users seeking detailed guidance.

What recommendations would you give to someone considering this product?

Before committing to Google Cloud Vertex AI, I'd suggest exploring its features and pricing thoroughly. Take advantage of trials or demos to see if it fits your project needs and team's expertise. Stay informed about updates that could enhance functionality.

Pros

  • Helps Innovate
  • Continually Improving Product
  • Reliable
  • Performance Enhancing

Swastik P.

  • Role: Student Academic
  • Industry: Engineering
  • Involvement: Initial Implementation
Validated Review
Verified Reviewer

Submitted Mar 2024

Great features for machine learning. Easy to use!

Likeliness to Recommend

8 /10

What differentiates Google Cloud Vertex AI from other similar products?

It's user friendly-ness and how easy it is to maneuver across it.

What is your favorite aspect of this product?

It generates n number of ML models so we can choose any which we like

What do you dislike most about this product?

It's price.

What recommendations would you give to someone considering this product?

It's very easy to go about, I'll recommend that person to visit each and every feature first.

Pros

  • Transparent
  • Caring
  • Respectful
  • Client Friendly Policies

Shivam V.

  • Role: Information Technology
  • Industry: Technology
  • Involvement: IT Development, Integration, and Administration
Validated Review
Verified Reviewer

Submitted Mar 2024

Efficient, but watch out for pricing.

Likeliness to Recommend

8 /10

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

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