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features
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support

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Description

Efficiently manage and distribute artifacts across different accounts while ensuring that your teams and build systems receive the necessary access levels. Minimize the burden of setting up and maintaining an artifact server or infrastructure by utilizing a fully managed service. Benefit from a pay-as-you-go pricing model that only charges for stored software packages, the number of requests, and data transferred out of the region. Configure CodeArtifact to seamlessly retrieve dependencies from public repositories like the npm Registry, Maven Central, Python Package Index (PyPI), and NuGet. Facilitate the secure sharing of private packages between organizations by publishing them to a centralized organizational repository. Create automated approval workflows utilizing CodeArtifact APIs alongside Amazon EventBridge, ensuring you have complete visibility into your packages through AWS CloudTrail. Use AWS CodeBuild to pull dependencies from CodeArtifact and publish updated versions of your private packages, all protected by AWS Identity and Access Management (IAM). This comprehensive approach not only enhances collaboration but also streamlines the development and deployment process across your organization.

Description

Unify your AI governance initiatives amongst various stakeholders, guarantee that your governance procedures are primed for regulatory compliance, and effectively assess and control your AI-related risks and adherence to regulations. Transition from disjointed teams and processes to a consolidated source of reliable governance that simplifies the effective management of all your AI and machine learning projects. Keep informed on the latest regulations and standards with AI Policy Packs designed to comply with both current and emerging rules. Credo AI functions as an intelligence layer that integrates with your AI systems, converting technical documentation into practical insights regarding risk and compliance for product managers, data scientists, and governance professionals. By enhancing your technical and business infrastructure, Credo AI also provides risk and compliance metrics that can guide decision-making across your organization. This comprehensive approach not only streamlines governance but also fosters a culture of accountability and transparency in AI development.

API Access

Has API Yes 

API Access

Has API No 

Screenshots View All

Screenshots View All

Integrations

Amazon Web Services (AWS) Yes 
AWS CloudTrail Yes 
AWS CodeBuild Yes 
AWS Identity and Access Management (IAM) Yes 
Amazon EventBridge Yes 
Amazon Registry Yes 
Google Cloud Platform No 
Maven Yes 
Microsoft Azure No 
NuGet Yes 
Python Yes 

Integrations

Amazon Web Services (AWS) Yes 
AWS CloudTrail No 
AWS CodeBuild No 
AWS Identity and Access Management (IAM) No 
Amazon EventBridge No 
Amazon Registry No 
Google Cloud Platform Yes 
Maven No 
Microsoft Azure Yes 
NuGet No 
Python No 

Pricing Details

$0.05 per GB per month
Free Trial Yes 
Free Version No 

Pricing Details

No price information available.
Free Trial No 
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) Yes 
Online Support No 

Customer Support

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

Types of Training

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

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/codeartifact/

Vendor Details

Company Name

Credo AI

Founded

2020

Country

United States

Website

www.credo.ai/

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 

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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