What is AWS Machine Learning?
Amazon Machine Learning is an Amazon Web Services product that allows a developer to discover patterns in end-user data through algorithms, construct mathematical models based on these patterns and then create and implement predictive applications.
Company Details
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Real user data aggregated to summarize the product performance and customer experience.
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85 Likeliness to Recommend
89 Plan to Renew
75 Satisfaction of Cost Relative to Value
3
Since last award
Emotional Footprint Overview
+83 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 AWS Machine Learning?
Pros
- Reliable
- Security Protects
- Respectful
- Continually Improving Product
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
Performance and Scalability
Pre-Packaged AI/ML Services
Data Ingestion
Data Pre-Processing
Feature Engineering
Model Training
Algorithm Recommendation
Data Exploration and Visualization
Ensembling
Data Labeling
Model Tuning
Vendor Capability Ratings
Ease of Data Integration
Quality of Features
Business Value Created
Breadth of Features
Ease of Implementation
Vendor Support
Product Strategy and Rate of Improvement
Ease of Customization
Usability and Intuitiveness
Ease of IT Administration
Availability and Quality of Training
AWS Machine Learning Reviews
Mukesh T.
- Role: Consultant
- Industry: Healthcare
- Involvement: End User of Application
Submitted Nov 2022
Easy to use and it's fantastic product.
Likeliness to Recommend
What differentiates AWS Machine Learning from other similar products?
Better to use AWS machine learning if you are using other AWS services as well as you get everything under a same roof.
What is your favorite aspect of this product?
Better support from AWS technical team
What do you dislike most about this product?
Needs to improve models
What recommendations would you give to someone considering this product?
Better to use AWS ML as they have good technical support.
Pros
- Helps Innovate
- Performance Enhancing
- Trustworthy
- Unique Features
- Role: C-Level
- Industry: Technology
- Involvement: IT Development, Integration, and Administration
Submitted Nov 2022
Sagemaker is Intuitive and growing fast
Likeliness to Recommend
Pros
- Performance Enhancing
- Helps Innovate
- Efficient Service
- Effective Service
Asim S.
- Role: Sales Marketing
- Industry: Banking
- Involvement: IT Leader or Manager
Submitted Nov 2022
Fantastic product!
Likeliness to Recommend
What differentiates AWS Machine Learning from other similar products?
The Sagemaker has an amazing set of features.
What is your favorite aspect of this product?
Model Development from a set of model images.
What do you dislike most about this product?
the pricing can shoot.
What recommendations would you give to someone considering this product?
Properly look at the pricing plan.
Pros
- Reliable
- Client's Interest First
- Appreciates Incumbent Status
- Helps Innovate
Cons
- Commodity Features
- Less Friendly Negotiation
- Less Productive