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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88 Likeliness to Recommend
1
Since last award
99 Plan to Renew
1
Since last award
75 Satisfaction of Cost Relative to Value
3
Since last award
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?
Pros
- Inspires Innovation
- Respectful
- Performance Enhancing
- Effective Service
Emotional Footprint
How to Read
Positive
Neutral
Negative
The Net Emotional Footprint measures high-level user sentiment towards particular product offerings. It aggregates emotional response ratings for various dimensions of the vendor-client relationship and product effectiveness, creating a powerful indicator of overall user feeling toward the vendor and product.
While purchasing decisions shouldn't be based on emotion, it's valuable to know what kind of emotional response the vendor you're considering elicits from their users.
Footprint
Feature Ratings
Model Training
Data Exploration and Visualization
Feature Engineering
Openness and Flexibility
Pre-Packaged AI/ML Services
Explainability
Data Labeling
Model Monitoring and Management
Data Ingestion
Data Pre-Processing
Algorithm Diversity
Vendor Capability Ratings
Ease of Implementation
Quality of Features
Ease of Data Integration
Ease of Customization
Business Value Created
Ease of IT Administration
Breadth of Features
Availability and Quality of Training
Vendor Support
Product Strategy and Rate of Improvement
Usability and Intuitiveness
Google Cloud Vertex AI Reviews
Ashay S.
- Role: Information Technology
- Industry: Finance
- Involvement: IT Development, Integration, and Administration
Submitted Feb 2023
Best Cloud MLOPS solution provider
Likeliness to Recommend
What differentiates Google Cloud Vertex AI from other similar products?
One of the great features is availability of more flexible and cheaper choice to combine GPU instances with powerful CPU which is especially helpful for Deep learning tasks It also has a simple feature that is shows all the instances in every region on the main console so you don't end up running VM in a different region and forget to close that as in some other providers , it improves ease of use and customer experience.
What is your favorite aspect of this product?
The best aspect is the availability of ML algorithms and integration with Cloud tools especially BigQuery which allows best method to collaborate on a data project and can handle very large amount of data
What do you dislike most about this product?
In my use I have found it to be more than helpful but it does lack in the ability to customize the algorithms for a complex tasks , it would be great if it allowed used of customized trained models.
What recommendations would you give to someone considering this product?
It is a great tool , which offers lots of tools which can help people with very little technical background to operate it for analyzing their data, getting insights , making predictions, etc.
Pros
- Helps Innovate
- Continually Improving Product
- Reliable
- Enables Productivity
Luis A.
- Role: Information Technology
- Industry: Technology
- Involvement: IT Leader or Manager
Submitted Nov 2021
The challenges and solutions have become clearer
Likeliness to Recommend
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
Submitted Nov 2021
Successful and user-friendly
Likeliness to Recommend
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
