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Google Cloud Vertex AI Logo Award Winner Product Badge
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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

100 Plan to Renew

77 Satisfaction of Cost Relative to Value

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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
2% Neutral
95% Positive

Pros

  • Performance Enhancing
  • Inspires Innovation
  • Respectful
  • Reliable

Feature Ratings

Average 81

Model Training

83

Data Exploration and Visualization

83

Explainability

82

Feature Engineering

82

Data Labeling

81

Model Monitoring and Management

81

Data Ingestion

81

Openness and Flexibility

81

Pre-Packaged AI/ML Services

81

Model Tuning

81

Algorithm Diversity

80

Vendor Capability Ratings

Average 79

Ease of Customization

81

Quality of Features

81

Ease of Data Integration

81

Ease of Implementation

81

Ease of IT Administration

80

Business Value Created

79

Breadth of Features

78

Availability and Quality of Training

77

Vendor Support

77

Product Strategy and Rate of Improvement

76

Usability and Intuitiveness

75

Google Cloud Vertex AI Reviews

  • Role: Information Technology
  • Industry: Engineering
  • Involvement: End User of Application
Validated Review
Anonymous Reviewer

Submitted Aug 2023

Review for Google Cloud Vertex AI

Likeliness to Recommend

8 /10

Pros

  • Inspires Innovation
  • Caring
  • Respectful
  • Friendly Negotiation

Cons

  • Less Productive
  • Charges for Enhancements

Sashank M.

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

Submitted Jun 2023

Fantastic product and features live upto

Likeliness to Recommend

9 /10

What differentiates Google Cloud Vertex AI from other similar products?

Unified Platform: Google Cloud Vertex AI provides a unified platform for end-to-end machine learning development and deployment. AutoML Capabilities: Google Cloud Vertex AI emphasizes automated machine learning (AutoML) capabilities, enabling users with limited machine learning expertise to build and deploy models. Customizability and Openness: While Google Cloud Vertex AI provides AutoML capabilities, it also offers flexibility for advanced users and developers.

What is your favorite aspect of this product?

Pre-built Components and Pipelines: Google Cloud Vertex AI provides pre-built components and pipelines, known as Vertex Pipelines, to streamline the development and deployment of machine learning workflows. Integration with Google Cloud Services: Google Cloud Vertex AI seamlessly integrates with other Google Cloud services, such as BigQuery for data storage and querying, Cloud Storage for data storage and retrieval, and Dataflow for data processing. Google AI Ecosystem: Google Cloud Vertex AI benefits from Google's expertise and innovations in machine learning and artificial intelligence.

What do you dislike most about this product?

Learning Curve for Advanced Features: While Google Cloud Vertex AI provides a user-friendly experience and AutoML capabilities, utilizing advanced features and customizing workflows may require a certain level of expertise in machine learning and Google Cloud Platform. Complexity for Beginners: Similar to other machine learning platforms, Google Cloud Vertex AI can be complex for beginners. Cost Management: Utilizing machine learning services, including Google Cloud Vertex AI, can incur costs. Vendor Lock-In: Google Cloud Vertex AI is part of the Google Cloud ecosystem, and using it ties users to Google Cloud Platform.

What recommendations would you give to someone considering this product?

Define Your Goals: Clearly define your machine learning goals and requirements. Identify the specific tasks you want to accomplish, such as image classification, natural language processing, or recommendation systems. Learn Machine Learning Fundamentals: Familiarize yourself with the fundamentals of machine learning, including concepts like supervised learning, unsupervised learning, and evaluation metrics. Explore AutoML Capabilities: Google Cloud Vertex AI offers powerful AutoML capabilities that automate various aspects of the machine learning workflow.

Pros

  • Helps Innovate
  • Performance Enhancing
  • Enables Productivity
  • Trustworthy

Anil T.

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

Submitted May 2023

Ecellent Service B oole Cloud

Likeliness to Recommend

9 /10

What differentiates Google Cloud Vertex AI from other similar products?

It is a powerful and flexible machine learning platform that simplifies the entire machine learning workflow, allowing you to build and deploy custom machine learning models with ease.

What is your favorite aspect of this product?

a range of features to help you manage and monitor your machine learning models in production, including built-in model monitoring and explainability tools, as well as integration with Google Cloud's logging and monitoring tools.

What do you dislike most about this product?

Nothing to dislike as per my knowledge and eperience.

What recommendations would you give to someone considering this product?

I hihly recommend people to use it.

Pros

  • Continually Improving Product
  • Performance Enhancing
  • Enables Productivity
  • Effective Service

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