Microsoft Azure Machine Learning
What is Microsoft Azure Machine Learning?
Machine Learning Studio is a powerfully simple browser-based, visual drag-and-drop authoring environment where no coding is necessary. Go from idea to deployment in a matter of clicks. Microsoft Azure Machine Learning Studio is a collaborative, drag-and-drop tool you can use to build, test, and deploy predictive analytics solutions on your data. Machine Learning Studio publishes models as web services that can easily be consumed by custom apps or BI tools such as Excel.
Company Details
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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
94 Plan to Renew
6
Since last award
84 Satisfaction of Cost Relative to Value
2
Since last award
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.
+94 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 Microsoft Azure Machine Learning?
Pros
- Performance Enhancing
- Respectful
- Reliable
- Security Protects
How to read the Emotional Footprint
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
Negative
Neutral
Positive
Feature Ratings
Model Training
Data Exploration and Visualization
Pre-Packaged AI/ML Services
Model Tuning
Data Pre-Processing
Feature Engineering
Model Monitoring and Management
Algorithm Recommendation
Data Labeling
Ensembling
Data Ingestion
Vendor Capability Ratings
Ease of Data Integration
Ease of Customization
Ease of IT Administration
Breadth of Features
Quality of Features
Product Strategy and Rate of Improvement
Usability and Intuitiveness
Availability and Quality of Training
Ease of Implementation
Business Value Created
Vendor Support
Microsoft Azure Machine Learning Reviews
Ketan S.
- Role: Information Technology
- Industry: Engineering
- Involvement: IT Leader or Manager
Submitted Mar 2024
easy & quick to setup end-to-end AI/ML solutions
Likeliness to Recommend
What differentiates Microsoft Azure Machine Learning from other similar products?
1. Provide variety of services to successfully build any AI/ML solution easily for e.g Blob storage, visualization tools, BI tools, Model training & testing tools. 2. Additionally, we can share and collaborate with team on Azure itself which is really helpful when you are working in remote environment
What is your favorite aspect of this product?
I loved working the data labelling service. Web based UI makes it very easy to annotate data from anywhere and collaborate with the team. Also, various annotation shapes are available which makes it suitable for any business solution.
What do you dislike most about this product?
They don't have any AI recommendation services yet, which will make life of AI developer very easy.
What recommendations would you give to someone considering this product?
If you want quickly set up and make your AI environment up and running you should definitely give it a try. There will be a learning curve so as to understand the services , but once you are comfortable it will be worth it.
Pros
- Efficient Service
- Transparent
- Appreciates Incumbent Status
- Security Protects
Cons
- Slower Product Innovation
- Commodity Features
- Vendor Friendly Policies
Pawan K.
- Role: Information Technology
- Industry: Technology
- Involvement: IT Leader or Manager
Submitted Mar 2024
Go-ahead and use your apps with this machine learn
Likeliness to Recommend
What differentiates Microsoft Azure Machine Learning from other similar products?
First of all, it integration with existing Microsoft technologies which we are already using in our environment and second is trust.
What is your favorite aspect of this product?
Building and training models without writing codes.
What do you dislike most about this product?
Costing can be at a bit cheaper side.
What recommendations would you give to someone considering this product?
Just use it and build you apps using machine learning.
Pros
- Helps Innovate
- Reliable
- Performance Enhancing
- Enables Productivity
Saurabh S.
- Role: Consultant
- Industry: Engineering
- Involvement: IT Leader or Manager
Submitted Mar 2024
Azure Machine Learning Experience
Likeliness to Recommend
What differentiates Microsoft Azure Machine Learning from other similar products?
It can be integrated with different kind of programming language like python and tools, it does not restrict administrator at any point and any kind of need of use. Azure Machine Learning Service have full control on training scalability with custom compute targets.
What is your favorite aspect of this product?
AI Automation is my favorite aspect. i have used and made multiple custom automation task and schedule to smooth operational challenges and reduce human interaction.
What do you dislike most about this product?
The Cost of this product is high but it justify with provided features.
What recommendations would you give to someone considering this product?
Data shaping and data cleaning is one of the most important features of Azure machine learning. and because of it my team spend most of the time. Azure ML user interface for data shaping and cleaning is clunky. It is very easy to write R code for this and copy/paste that code into Azure ML.
Pros
- Helps Innovate
- Reliable
- Performance Enhancing
- Trustworthy
