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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

1
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

Luis A.

  • Role: Information Technology
  • Industry: Technology
  • Involvement: IT Leader or Manager
Validated Review
Verified Reviewer

Submitted Nov 2021

The challenges and solutions have become clearer

Likeliness to Recommend

9 /10

What differentiates Google Cloud Vertex AI from other similar products?

AutoML (VertexAI), a new GCP service, integrates with various open-source machine learning frameworks (TensorFlow, PyTorch, sci-kit-learn). As a consequence, we were able to shift from on-premises open source ML to the cloud while preserving the added value of AutoML. Vertex AI is a relatively new technology (in May 2021). I was thrilled to see that Google Cloud Machine Learning Engine has just recently introduced TensorFlow to the cloud, but rivals have already begun using AutoML, so this Google cloud service appears to be following and evolving.

What is your favorite aspect of this product?

It's a cloud-based service that's been there for a long time as TensorFlow, but it's lately been reformed as a new integrated ML platform, ContactCenterAI, VertexAI, DocumentAI, and the difficulties and solutions. AutoML, which is included in Vertex AI, is very important. AutoML is a method that has gained a lot of attention in the machine learning field in recent years, but it is incredibly welcome that it is now being covered in full in a cloud machine learning service that even novices can use with reasonable ease.

What do you dislike most about this product?

As said in the positives, improving issues and solutions is a good flow, and the AI and ML disciplines are rapidly increasing, therefore I'd want to see you extend the examples and templates while introducing new technologies.

What recommendations would you give to someone considering this product?

I was able to easily switch to the GCP cloud while receiving the added functionality of AutoML by utilizing PyTorch and SciKit-Learn in my local environment. It's wonderful that AutoML = Vertex AI is now available on GCP. We've been following Vertex AI since before it was launched, and it's now a reasonable quality as part of AutoML, and we're working hard to aggressively hire in-house people. The good news is that "it has evolved to the point where Vertex AI can be implemented" based on this approach.

Pros

  • Helps Innovate
  • Continually Improving Product
  • Reliable
  • Enables Productivity

Uğur Deniz Y.

  • Role: Information Technology
  • Industry: Technology
  • Involvement: Business Leader or Manager
Validated Review
Verified Reviewer

Submitted Nov 2021

Successful and user-friendly

Likeliness to Recommend

10 /10

What differentiates Google Cloud Vertex AI from other similar products?

The performance and recommendations of the application are very successful.

What is your favorite aspect of this product?

Fast, practical and fit for purpose. The results obtained are highly accurate.

What do you dislike most about this product?

It rarely slows down.

What recommendations would you give to someone considering this product?

It will be more efficient if you read the sources.

Pros

  • Continually Improving Product
  • Reliable
  • Performance Enhancing
  • Enables Productivity
  • Role: Information Technology
  • Industry: Insurance
  • Involvement: IT Development, Integration, and Administration
Validated Review
Anonymous Reviewer

Submitted Oct 2020

A solid ML solution

Likeliness to Recommend

9 /10

Pros

  • Enables Productivity
  • Helps Innovate
  • Continually Improving Product
  • Reliable

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