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
85 Satisfaction of Cost Relative to Value
1
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
Explainability
Vendor Capability Ratings
Ease of Data Integration
Ease of Customization
Ease of IT Administration
Product Strategy and Rate of Improvement
Usability and Intuitiveness
Breadth of Features
Quality of Features
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
Kumar A.
- Role: Information Technology
- Industry: Engineering
- Involvement: End User of Application
Submitted Mar 2024
Begineers Friendly
Likeliness to Recommend
What differentiates Microsoft Azure Machine Learning from other similar products?
Microsoft Azure Machine Learning stands out for its seamless integration with the broader Azure ecosystem, offering extensive scalability, security, and flexibility, along with a rich set of pre-built tools and services for end-to-end machine learning workflows.
What is your favorite aspect of this product?
Favourite aspect of Microsoft Azure Machine Learning is its comprehensive set of features catering to diverse needs, including automated machine learning, model deployment,
What do you dislike most about this product?
I dont have any dislike.
What recommendations would you give to someone considering this product?
Prioritize understanding Azure Machine Learning's pricing, ensure compatibility with your tech stack, and leverage its extensive documentation and community support for successful adoption.
Pros
- Continually Improving Product
- Reliable
- Efficient Service
- Inspires Innovation
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
