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What is Amazon SageMaker Unified Studio?

Amazon SageMaker Unified Studio is an all-in-one platform for AI and machine learning development, combining data discovery, processing, and model creation in one secure and collaborative environment. It integrates services like Amazon EMR, Amazon SageMaker, and Amazon Bedrock, allowing users to quickly access data, process it using SQL or ETL tools, and build machine learning models. SageMaker Unified Studio also simplifies the creation of generative AI applications, with customizable AI models and rapid deployment capabilities. Designed for both technical and business teams, it helps organizations streamline workflows, enhance collaboration, and speed up AI adoption.

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 Web Services (AWS)
AWS Glue
Amazon Athena
Amazon DataZone
Amazon Q Developer
Amazon Redshift
Amazon S3 Vectors
Amazon SageMaker Canvas
Amazon SageMaker Clarify
Amazon SageMaker Data Wrangler
Amazon SageMaker Feature Store
Amazon SageMaker Ground Truth
Amazon SageMaker JumpStart
Amazon SageMaker Unified Studio
Hugging Face
LightOn
Llama
PyTorch
Stability AI

Integrations Supported

Amazon SageMaker
Amazon Web Services (AWS)
AWS Glue
Amazon Athena
Amazon DataZone
Amazon Q Developer
Amazon Redshift
Amazon S3 Vectors
Amazon SageMaker Canvas
Amazon SageMaker Clarify
Amazon SageMaker Data Wrangler
Amazon SageMaker Feature Store
Amazon SageMaker Ground Truth
Amazon SageMaker JumpStart
Amazon SageMaker Unified Studio
Hugging Face
LightOn
Llama
PyTorch
Stability AI

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/sagemaker/unified-studio/

Company Facts

Organization Name

Amazon

Date Founded

2006

Company Location

United States

Company Website

aws.amazon.com/sagemaker/clarify/

Categories and Features

Data Science

Access Control
Advanced Modeling
Audit Logs
Data Discovery
Data Ingestion
Data Preparation
Data Visualization
Model Deployment
Reports

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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