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Google Cloud Vertex AI

8.6 /10

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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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2024 Data Quadrant Gold Medalist

Latest Award, 2024

1 Top Rated Capabilities

4 Top Rated Features

Latest Award, 2024

2023 Emotional Footprint Champion

2023

Strategy and Innovation
Service Experience
Contract Negotiation

2023

2023 Data Quadrant Gold Medalist

2023

5 Top Rated Capabilities

11 Top Rated Features

2023

3 Top Rated Capabilities

9 Top Rated Features

2022

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.

88 Likeliness to Recommend

99 Plan to Renew

75 Satisfaction of Cost Relative to Value

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Emotional Footprint Overview

+91 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?

4% Negative

2% Neutral

94% Positive

Pros

Inspires Innovation
Respectful
Reliable
Performance Enhancing

Feature Ratings

Average 80

Model Training

Data Exploration and Visualization

Feature Engineering

Pre-Packaged AI/ML Services

Explainability

Data Labeling

Openness and Flexibility

Model Monitoring and Management

Data Ingestion

Algorithm Diversity

Data Pre-Processing

Vendor Capability Ratings

Average 78

Quality of Features

Ease of Data Integration

Ease of Implementation

Ease of Customization

Ease of IT Administration

Business Value Created

Breadth of Features

Vendor Support

Availability and Quality of Training

Usability and Intuitiveness

Product Strategy and Rate of Improvement

Google Cloud Vertex AI Reviews

Avinash G.

Role: Information Technology
Industry: Engineering
Involvement: IT Development, Integration, and Administration

Validated Review

Verified Reviewer

Submitted Mar 2024

Streamlined and Powerful

Likeliness to Recommend

10 /10

What differentiates Google Cloud Vertex AI from other similar products?

Vertex AI provides a unified platform that easily integrates data preparation, model training, deployment, and monitoring and other things also

What is your favorite aspect of this product?

it's really easy to use and comes with wide range of documentation and certification courses.and I really like it and also share with my colleagues

What do you dislike most about this product?

Challenging to use initially: Some users have found Vertex AI challenging to use initially. After that it's good for use

What recommendations would you give to someone considering this product?

Google Cloud Vertex AI is a powerful ML platform that offers a variety of features for businesses of all sizes. However, it can be expensive and complex to use, so it is important to carefully consider your needs before choosing this platform.

Pros

Helps Innovate
Continually Improving Product
Reliable
Performance Enhancing

Janhavi F.

Role: Sales Marketing
Industry: Technology
Involvement: IT Development, Integration, and Administration

Validated Review

Verified Reviewer

Submitted Mar 2024

Fantastic product

Likeliness to Recommend

10 /10

What differentiates Google Cloud Vertex AI from other similar products?

Very unique

What is your favorite aspect of this product?

It provides MLops tools

What do you dislike most about this product?

Very large image which may slow down run time

What recommendations would you give to someone considering this product?

Customize large language modules

Pros

Helps Innovate
Continually Improving Product
Performance Enhancing
Enables Productivity

Puneet S.

Role: Information Technology
Industry: Engineering
Involvement: IT Leader or Manager

Validated Review

Verified Reviewer

Submitted Mar 2024

Interactive Platform for Beginners

Likeliness to Recommend

8 /10

What differentiates Google Cloud Vertex AI from other similar products?

Vertex AI from Google Cloud stands out due to its user-friendly interface, making machine learning accessible even to those without extensive expertise. Its advanced Auto ML features empower users to create high-quality models effortlessly, saving time and resources. Additionally, Vertex AI's seamless integration with Google Cloud services streamlines the entire ML workflow, enhancing efficiency and collaboration.

What is your favorite aspect of this product?

As a user I really appreciate Vertex AI's ability to democratize machine learning. Its user-friendly interface and powerful Auto ML features make complex tasks accessible to everyone, regardless of their expertise. Moreover, Vertex AI's seamless integration with Google Cloud services simplifies the entire process, allowing users to focus on innovation rather than logistical challenges.

What do you dislike most about this product?

One common concern could be the learning curve associated with leveraging its full potential. Despite its user-friendly interface, mastering all the features and capabilities might require significant time and effort, especially for those new to machine learning. Overall, while Vertex AI offers impressive capabilities, addressing these potential challenges could further enhance its accessibility and user satisfaction.

What recommendations would you give to someone considering this product?

Firstly understand why do you need this product, check weather your requirements are met by using this product. Experiment with the free tier or trial options to get a feel for how Vertex AI aligns with your specific use cases. Additionally, don't hesitate to reach out to the community or seek guidance from experts if you encounter any challenges or have questions. Collaborating with others can provide valuable insights and support as you navigate the learning curve.

Pros

Continually Improving Product
Saves Time
Fair
Transparent

Google Cloud Vertex AI

What is Google Cloud Vertex AI?

Company Details

Need Assistance?

Awards & Recognition

2024 Data Quadrant Gold Medalist

2023 Emotional Footprint Champion

2023 Data Quadrant Gold Medalist

Google Cloud Vertex AI Ratings

88 Likeliness to Recommend

99 Plan to Renew

75 Satisfaction of Cost Relative to Value

Emotional Footprint Overview

+91 Net Emotional Footprint

How much do users love Google Cloud Vertex AI?

Pros

Feature Ratings Average rating of all product features, some of which may not be shown below

Model Training Ability to train a model with a range of data sets that you provide.

Data Exploration and Visualization Ability to visually manipulate, interact with, and explore data, and perform basic descriptive statistics and pattern detection.

Feature Engineering Ability to extract and build features from raw data.

Pre-Packaged AI/ML Services Pre-trained models and associated resources, e.g., for forecasting, recommendations, image and video analysis, NLP, voice, etc.

Explainability Ability to explain/ visualize the model.

Data Labeling Ability to annotate/ label data to create a training data set.

Openness and Flexibility Integration with open-source and 3P resources (languages, frameworks, libraries, etc.)

Model Monitoring and Management Ability to monitor model use and performance in production, incl. identifying models for refresh and/or replacement.

Data Ingestion Ability to access data from various sources on-prem and in the cloud and of various type: structured, unstructured, and semi-structured, real-time, etc.

Algorithm Diversity Provides multiple diverse ready-to-use machine learning algorithms out-of-the-box.

Data Pre-Processing Ability to wrangle or pre-process data to ready it for model training.

Vendor Capability Ratings Average rating of all vendor capabilities, some of which may not be shown below

Quality of Features Feature quality is just as important as quantity. Use this data to determine if this product will do what you're purchasing it to do, easily, intuitively, reliably, and effectively.

Ease of Data Integration Use this data to determine whether the product will cause headaches or make data integration easy.

Ease of Implementation Successfully implementing new software is necessary to realize its full value and promote end user adoption. This data indicates whether or not the product is easy to implement.

Ease of Customization Don't get bogged down in a difficult customization; use this data to make sure you can easily achieve the functionality you need for your particular situation.

Ease of IT Administration This data indicates whether IT personnel will be able to resolve issues and perform configurations efficiently and effectively.

Business Value Created Software needs to create value for employees, customers, partners, and, ultimately, shareholders. This data expresses user satisfaction - or lack thereof - with the product's business value.

Breadth of Features Users prefer feature rich software that enables them to perform diverse series of tasks. This data expresses user satisfaction with the product's breadth of features.

Vendor Support The importance of vendor support will vary for each organization depending on internal capabilities, but there will always be issues that only the vendor can resolve.

Availability and Quality of Training Effective and readily available training enables users to get the most out of the software you've chosen. Use this section to make sure your vendor's training programs and materials measure up.

Usability and Intuitiveness End user learning curves cost the organization money. Pay attention to your end users' technical ability to determine how important UX is in your purchase.

Product Strategy and Rate of Improvement Vendors who don't stay on top of emerging needs and trends won't enable you to meet your business goals. Use this data to separate innovators from imposters.

Google Cloud Vertex AI Reviews

Avinash G.

Streamlined and Powerful

Likeliness to Recommend

Pros

Janhavi F.

Fantastic product

Likeliness to Recommend

Pros

Puneet S.

Interactive Platform for Beginners

Likeliness to Recommend

Pros

Most Popular Google Cloud Vertex AI Comparisons

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DataRobot AI Platform

Feature Ratings

Model Training

Data Exploration and Visualization

Feature Engineering

Pre-Packaged AI/ML Services

Explainability

Data Labeling

Openness and Flexibility

Model Monitoring and Management

Data Ingestion

Algorithm Diversity

Data Pre-Processing

Vendor Capability Ratings

Quality of Features

Ease of Data Integration

Ease of Implementation

Ease of Customization

Ease of IT Administration

Business Value Created

Breadth of Features

Vendor Support

Availability and Quality of Training

Usability and Intuitiveness

Product Strategy and Rate of Improvement