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Average Ratings 0 Ratings

Total 0 out of 5 stars
ease 0 out of 5 stars
features 0 out of 5 stars
design 0 out of 5 stars
support 0 out of 5 stars

No User Reviews. Be the first to provide a review:

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Description

Amazon Augmented AI (Amazon A2I) simplifies the creation of workflows necessary for the human evaluation of machine learning predictions. By providing an accessible platform for all developers, Amazon A2I alleviates the burdensome tasks associated with establishing human review systems and overseeing numerous human reviewers. In various machine learning applications, it is often essential for humans to assess predictions with low confidence to confirm their accuracy. For instance, when extracting data from scanned mortgage applications, human intervention may be needed in instances of subpar scans or illegible handwriting. However, developing effective human review systems can be both time-consuming and costly, as it requires the establishment of intricate processes or workflows, the development of bespoke software for managing review tasks and outcomes, and frequently, coordination of large teams of reviewers. This complexity can deter organizations from implementing necessary review mechanisms, but A2I aims to streamline the process and make it more feasible.

Description

Amazon SageMaker is a comprehensive machine learning platform that integrates powerful tools for model building, training, and deployment in one cohesive environment. It combines data processing, AI model development, and collaboration features, allowing teams to streamline the development of custom AI applications. With SageMaker, users can easily access data stored across Amazon S3 data lakes and Amazon Redshift data warehouses, facilitating faster insights and AI model development. It also supports generative AI use cases, enabling users to develop and scale applications with cutting-edge AI technologies. The platform’s governance and security features ensure that data and models are handled with precision and compliance throughout the entire ML lifecycle. Furthermore, SageMaker provides a unified development studio for real-time collaboration, speeding up data discovery and model deployment.

API Access

Has API No 

API Access

Has API Yes 

Screenshots View All

Screenshots View All

Integrations

Amazon Transcribe Yes 
Splunk User Behavior Analytics Yes 
APERIO DataWise No 
Amazon EC2 Trn1 Instances No 
Amazon SageMaker Ground Truth No 
Amazon SageMaker Pipelines No 
Aporia No 
Camunda No 
Causal No 
Cohere Rerank No 
Comet No 
Cranium No 
Darktrace / SECURE AI No 
Flyte No 
Galileo No 
JetBrains Datalore No 
Pinecone Rerank v0 No 
Pruna AI No 
Qlik Staige No 
Superwise No 

Integrations

Amazon Transcribe Yes 
Splunk User Behavior Analytics Yes 
APERIO DataWise Yes 
Amazon EC2 Trn1 Instances Yes 
Amazon SageMaker Ground Truth Yes 
Amazon SageMaker Pipelines Yes 
Aporia Yes 
Camunda Yes 
Causal Yes 
Cohere Rerank Yes 
Comet Yes 
Cranium Yes 
Darktrace / SECURE AI Yes 
Flyte Yes 
Galileo Yes 
JetBrains Datalore Yes 
Pinecone Rerank v0 Yes 
Pruna AI Yes 
Qlik Staige Yes 
Superwise Yes 

Pricing Details

No price information available.
Free Trial No 
Free Version No 

Pricing Details

Try free for two months
Free Trial Yes 
Free Version No 

Deployment

Web-Based Yes 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
Windows No 
Mac No 
Linux No 
Chromebook No 

Deployment

Web-Based Yes 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
Windows No 
Mac No 
Linux No 
Chromebook No 

Customer Support

Business Hours Yes 
Live Rep (24/7) No 
Online Support Yes 

Customer Support

Business Hours No 
Live Rep (24/7) No 
Online Support Yes 

Types of Training

Training Docs Yes 
Webinars No 
Live Training (Online) No 
In Person No 

Types of Training

Training Docs No 
Webinars No 
Live Training (Online) Yes 
In Person No 

Vendor Details

Company Name

Amazon

Founded

1994

Country

United States

Website

aws.amazon.com/augmented-ai/

Vendor Details

Company Name

Amazon

Founded

1994

Country

United States

Website

aws.amazon.com/sagemaker/

Product Features

Machine Learning

Deep Learning No 
ML Algorithm Library No 
Model Training No 
Natural Language Processing (NLP) No 
Predictive Modeling No 
Statistical / Mathematical Tools No 
Templates No 
Visualization No 

Product Features

Artificial Intelligence

Chatbot No 
For Healthcare No 
For Sales No 
For eCommerce No 
Image Recognition No 
Machine Learning No 
Multi-Language No 
Natural Language Processing No 
Predictive Analytics No 
Process/Workflow Automation No 
Rules-Based Automation No 
Virtual Personal Assistant (VPA) No 

Data Governance

Access Control No 
Data Discovery No 
Data Mapping No 
Data Profiling No 
Deletion Management No 
Email Management No 
Policy Management No 
Process Management No 
Roles Management No 
Storage Management No 

Data Labeling

Human-in-the-loop Yes 
Labeling Automation Yes 
Labeling Quality Yes 
Performance Tracking Yes 
Polygon, Rectangle, Line, Point Yes 
SDK Yes 
Supports Audio Files Yes 
Task Management Yes 
Team Collaboration Yes 
Training Data Management Yes 

Machine Learning

Deep Learning No 
ML Algorithm Library No 
Model Training No 
Natural Language Processing (NLP) No 
Predictive Modeling No 
Statistical / Mathematical Tools No 
Templates No 
Visualization No 

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