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What is PwC Model Edge?

Model Edge facilitates the entire lifecycle management of models by streamlining the development, validation, governance, and oversight of your full portfolio, encompassing AI functionalities through a singular platform. This efficient operation bolsters your confidence in the program by providing vital tools that highlight the effectiveness and explainability of models to both internal teams and external partners. The platform is equipped with comprehensive model recording and documentation features, all housed within a cohesive environment. Furthermore, it presents a detailed inventory of models along with an audit trail that records historical and real-time changes and updates. By employing a centralized cloud-based system, you can manage every stage of a model’s lifecycle, from its initial idea to complete deployment. This enables you to effectively orchestrate workflows for model development and validation while keeping track of progress across different initiatives, ensuring every step is meticulously monitored and optimized. Such an all-encompassing strategy not only promotes enhanced collaboration but also significantly improves accountability throughout the model management framework, making it an indispensable tool for organizations. Ultimately, Model Edge stands as a pivotal resource that empowers organizations to harness the full potential of their modeling capabilities.

What is Amazon SageMaker?

Amazon SageMaker is a robust platform designed to help developers efficiently build, train, and deploy machine learning models. It unites a wide range of tools in a single, integrated environment that accelerates the creation and deployment of both traditional machine learning models and generative AI applications. SageMaker enables seamless data access from diverse sources like Amazon S3 data lakes, Redshift data warehouses, and third-party databases, while offering secure, real-time data processing. The platform provides specialized features for AI use cases, including generative AI, and tools for model training, fine-tuning, and deployment at scale. It also supports enterprise-level security with fine-grained access controls, ensuring compliance and transparency throughout the AI lifecycle. By offering a unified studio for collaboration, SageMaker improves teamwork and productivity. Its comprehensive approach to governance, data management, and model monitoring gives users full confidence in their AI projects.

Media

Media

Integrations Supported

Integrations Supported

Acryl Data
Amazon Bedrock
Amazon EC2 G4 Instances
Amazon EC2 P5 Instances
Amazon FSx for Lustre
Amazon Nova Forge
Amazon S3 Express One Zone
Amazon SageMaker Studio
Amazon SageMaker Studio Lab
Amazon SageMaker Unified Studio
Anaconda
Aporia
Camunda
Galileo
JetBrains Datalore
Lemma
Pinecone Rerank v0
Privacera
Splunk User Behavior Analytics
Superwise

API Availability

API Availability

Has API

Pricing Information

Pricing not provided

Pricing Information

Try free for two months
Free Trial Offered?

Supported Platforms

SaaS

Supported Platforms

SaaS

Customer Service / Support

Web-Based Support

Customer Service / Support

Web-Based Support

Training Options

Online Training

Training Options

Online Training

Company Facts

Organization Name

PwC

Date Founded

1998

Company Location

United Kingdom

Company Website

www.pwc.com/us/en/products/model-edge.html

Company Facts

Organization Name

Amazon

Date Founded

1994

Company Location

United States

Company Website

aws.amazon.com/sagemaker/

Categories and Features

Categories and Features

Agentic AI

Not specified

AI Development

Not specified

AI Fine-Tuning

Not specified

AI Governance

Not specified

AI Infrastructure

Not specified

AI Tools

Not specified

AI/ML Model Training

Not specified

Data Catalog

Not specified

Data Governance

Not specified

Data Labeling

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

Machine Learning

Not specified

ML Model Deployment

Not specified

ML Model Management

Not specified

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