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Google Cloud Vertex AI Logo Award Winner Product Badge
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Google Cloud Vertex AI

8.7 /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.

89 Likeliness to Recommend

1
Since last award

100 Plan to Renew

1
Since last award

76 Satisfaction of Cost Relative to Value

1
Since last award


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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?

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

Kundan S.

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

Submitted Mar 2024

Image generation & editing using GEN AI is best.

Likeliness to Recommend

8 /10

What differentiates Google Cloud Vertex AI from other similar products?

I just love it's capabilities regarding Imagen 2. Image generations and image updation using Generative AI is the best.

What is your favorite aspect of this product?

Capabilities and results

What do you dislike most about this product?

Cost and support or documentation

What recommendations would you give to someone considering this product?

Take care about costing and firstly compare the required features with the competitors

Pros

  • Continually Improving Product
  • Trustworthy
  • Unique Features
  • Efficient Service
  • Role: Information Technology
  • Industry: Retail
  • Involvement: IT Leader or Manager
Validated Review
Anonymous Reviewer

Submitted Mar 2024

Easy to customize and and easy to implement.

Likeliness to Recommend

9 /10

Pros

  • Continually Improving Product
  • Performance Enhancing
  • Enables Productivity
  • Trustworthy

Devesh R.

  • Role: C-Level
  • Industry: Food and Beverage
  • Involvement: IT Leader or Manager
Validated Review
Verified Reviewer

Submitted Mar 2024

Easy to use, but a bit pricey.

Likeliness to Recommend

10 /10

What differentiates Google Cloud Vertex AI from other similar products?

I didn't use any other similar products from Google Cloud Vertex AI.

What is your favorite aspect of this product?

It simplifies ML with seamless integration, AutoML, and a unified interface.

What do you dislike most about this product?

It might find the pricing structure of cloud-based ML platforms to be complex or potentially expensive, depending on their usage patterns and requirements.

What recommendations would you give to someone considering this product?

Explore tutorials, start small, use AutoML, mind costs, and seek support.

Pros

  • Reliable
  • Performance Enhancing
  • Enables Productivity
  • Unique Features

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