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What is Amazon Web Services (AWS)?

Amazon Web Services (AWS) is a global leader in cloud computing, providing the broadest and deepest set of cloud capabilities on the market. From compute and storage to advanced analytics, AI, and agentic automation, AWS enables organizations to build, scale, and transform their businesses. Enterprises rely on AWS for secure, compliant infrastructure while startups leverage it to launch quickly and innovate without heavy upfront costs. The platform’s extensive service catalog includes solutions for machine learning (Amazon SageMaker), serverless computing (AWS Lambda), global content delivery (Amazon CloudFront), and managed databases (Amazon DynamoDB). With the launch of Amazon Q Developer and AWS Transform, AWS is also pioneering the next wave of agentic AI and modernization technologies. Its infrastructure spans 120 availability zones in 38 regions, with expansion plans into Saudi Arabia, Chile, and Europe’s Sovereign Cloud, guaranteeing unmatched global reach. Customers benefit from real-time scalability, security trusted by the world’s largest enterprises, and automation that streamlines complex operations. AWS is also home to the largest global partner network, marketplace, and developer community, making adoption easier and more collaborative. Training, certifications, and digital courses further support workforce upskilling in cloud and AI. Backed by years of operational expertise and constant innovation, AWS continues to redefine how the world builds and runs technology in the cloud era.

What is Amazon SageMaker Clarify?

Amazon SageMaker Clarify provides machine learning practitioners with advanced tools aimed at deepening their insights into both training datasets and model functionality. This innovative solution detects and evaluates potential biases through diverse metrics, empowering developers to address bias challenges and elucidate the predictions generated by their models. SageMaker Clarify is adept at uncovering biases throughout different phases: during the data preparation process, after training, and within deployed models. For instance, it allows users to analyze age-related biases present in their data or models, producing detailed reports that outline various types of bias. Moreover, SageMaker Clarify offers feature importance scores to facilitate the understanding of model predictions, as well as the capability to generate explainability reports in both bulk and real-time through online explainability. These reports prove to be extremely useful for internal presentations or client discussions, while also helping to identify possible issues related to the model. In essence, SageMaker Clarify acts as an essential resource for developers aiming to promote fairness and transparency in their machine learning projects, ultimately fostering trust and accountability in their AI solutions. By ensuring that developers have access to these insights, SageMaker Clarify helps to pave the way for more responsible AI development.

Media

Media

Integrations Supported

Amazon SageMaker
Amazon SageMaker Unified Studio
APERIO DataWise
AWS Cloud Development Kit (CDK)
ActiveControl
Amazon Marketing Cloud
Amazon MemoryDB
Amazon Monitron
ContinuousCare
Convesio
Diamond IP
Evergent
MissionKontrol
Redpanda Agentic Data Plane
Splunk User Behavior Analytics
Tempest
Unleash live
ValidMind
dbTimer
myKaarma

Integrations Supported

Amazon SageMaker
Amazon SageMaker Unified Studio
APERIO DataWise
AWS Cloud Development Kit (CDK)
ActiveControl
Amazon Marketing Cloud
Amazon MemoryDB
Amazon Monitron
ContinuousCare
Convesio
Diamond IP
Evergent
MissionKontrol
Redpanda Agentic Data Plane
Splunk User Behavior Analytics
Tempest
Unleash live
ValidMind
dbTimer
myKaarma

API Availability

Has API

API Availability

Has API

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Company Facts

Organization Name

Amazon

Date Founded

1994

Company Location

United States

Company Website

aws.amazon.com

Company Facts

Organization Name

Amazon

Date Founded

2006

Company Location

United States

Company Website

aws.amazon.com/sagemaker/clarify/

Categories and Features

Cloud Management

Access Control
Billing & Provisioning
Capacity Analytics
Cost Management
Demand Monitoring
Multi-Cloud Management
Performance Analytics
SLA Management
Supply Monitoring
Workflow Approval

Cloud Storage

Access Control
Archiving & Retention
Backup
Data Migration
Data Synchronization
Encryption
File Sharing
Version Control

DevOps

Approval Workflow
Dashboard
KPIs
Policy Management
Portfolio Management
Prioritization
Release Management
Timeline Management
Troubleshooting Reports

Infrastructure-as-a-Service (IaaS)

Analytics / Reporting
Configuration Management
Data Migration
Data Security
Load Balancing
Log Access
Network Monitoring
Performance Monitoring
SLA Monitoring

IT Management

Capacity Monitoring
Compliance Management
Event Logs
Hardware Inventory
IT Budgeting
License Management
Patch Management
Remote Access
Scheduling
Software Inventory
User Activity Monitoring

Server Management

CPU Monitoring
Credential Management
Database Servers
Email Monitoring
Event Logs
History Tracking
Patch Management
Scheduling
User Activity Monitoring
Virtual Machine Monitoring

Web Hosting

Cloud Hosting
DDOS Protection
Dedicated Hosting
Email Hosting
Managed Hosting
Multiple Datacenter Locations
Private SSL
SSD Storage
Server Backups
Shared Website Hosting
Unlimited Bandwidth Option
VPS
Website Builder

Categories and Features

Machine Learning

Deep Learning
ML Algorithm Library
Model Training
Natural Language Processing (NLP)
Predictive Modeling
Statistical / Mathematical Tools
Templates
Visualization

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