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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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.
88 Likeliness to Recommend
94 Plan to Renew
1
Since last award
81 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.
+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 AWS Machine Learning?
Pros
- Continually Improving Product
- Respectful
- Efficient Service
- Includes Product Enhancements
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
Pre-Packaged AI/ML Services
Performance and Scalability
Data Ingestion
Data Pre-Processing
Openness and Flexibility
Algorithm Diversity
Model Tuning
Feature Engineering
Algorithm Recommendation
Data Labeling
Model Training
Vendor Capability Ratings
Quality of Features
Vendor Support
Ease of Data Integration
Ease of Implementation
Business Value Created
Breadth of Features
Ease of Customization
Ease of IT Administration
Product Strategy and Rate of Improvement
Usability and Intuitiveness
Availability and Quality of Training
AWS Machine Learning Reviews
Pradeep P.
- Role: Information Technology
- Industry: Transportation
- Involvement: IT Development, Integration, and Administration
Submitted Feb 2024
AWS is a powerful tool
Likeliness to Recommend
What differentiates AWS Machine Learning from other similar products?
1. Innovative technologies 2. it is quite reliable and secure compared to other resources. 3. It is user friendly Graphical user interface
What is your favorite aspect of this product?
Highly cost effective AWS tools simplify tasks for developers. These include the AWS CLI, SDKs for languages, IDEs, and DevOps tools like AWS CloudFormation and AWS CodeDeploy. AWS introduces new technologies through research like AI, ML, serverless computing, containers, and edge computing.
What do you dislike most about this product?
1. Meeting regulatory rules like GDPR, HIPAA, or PCI DSS with AWS services can be tough. Making certain compliance may mean extra work and money putting in and overseeing security, checking, and papers. 2.Storing sensitive data online raises concerns. AWS uses security like encryption but users manage data. 3.Occasional downtime can occur on AWS. Disruptions may impact businesses relying on AWS, affecting work and customer experience.
What recommendations would you give to someone considering this product?
Must use web service tool .
Pros
- Continually Improving Product
- Performance Enhancing
- Enables Productivity
- Inspires Innovation
Gaurav K.
- Role: Information Technology
- Industry: Communications
- Involvement: Business Leader or Manager
Submitted Oct 2023
Awesome Product
Likeliness to Recommend
What differentiates AWS Machine Learning from other similar products?
one of the best product of AWS ML is sage maker which gets easily deployed using couple of Cloudformation scripts Sage maker pilot allows to use automatic model creation so efficiently. Real time and batch inferencing allows devs to obtain predictions interactively Easy UI to spin up sagemaker instances and train your ML models on that
What is your favorite aspect of this product?
Real time and batch inferencing allows devs to obtain predictions interactively
What do you dislike most about this product?
No issues so far with the product
What recommendations would you give to someone considering this product?
Make sure you are not keeping instances on/off for longer period of time , have some automation policies to clear the instances that are not being used
Pros
- Enables Productivity
- Security Protects
- Helps Innovate
- Reliable
Vaibhav B.
- Role: Industry Specific Role
- Industry: Biotechnology
- Involvement: IT Development, Integration, and Administration
Submitted Oct 2023
Easy to use. A lot of features, but pricey.
Likeliness to Recommend
What differentiates AWS Machine Learning from other similar products?
AWS has established itself in the market! everyone understands AWS better than other cloud providers.
What is your favorite aspect of this product?
great UI/UX
What do you dislike most about this product?
a lot of features. really confusing .
What recommendations would you give to someone considering this product?
Do try it! i personally found it more user friendly than GCP.
Pros
- Helps Innovate
- Reliable
- Performance Enhancing
- Fair
