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Description
Amazon SageMaker enables the identification of various types of unprocessed data, including images, text documents, and videos, while also allowing for the addition of meaningful labels and the generation of synthetic data to develop high-quality training datasets for machine learning applications. The platform provides two distinct options, namely Amazon SageMaker Ground Truth Plus and Amazon SageMaker Ground Truth, which grant users the capability to either leverage a professional workforce to oversee and execute data labeling workflows or independently manage their own labeling processes. For those seeking greater autonomy in crafting and handling their personal data labeling workflows, SageMaker Ground Truth serves as an effective solution. This service simplifies the data labeling process and offers flexibility by enabling the use of human annotators through Amazon Mechanical Turk, external vendors, or even your own in-house team, thereby accommodating various project needs and preferences. Ultimately, SageMaker's comprehensive approach to data annotation helps streamline the development of machine learning models, making it an invaluable tool for data scientists and organizations alike.
Description
Sage Cyber Train serves as a comprehensive Training Management System (TMS) that offers the versatility needed to oversee and deliver educational content while optimizing and automating administrative processes. This platform seamlessly integrates with Sage HRMS and numerous HR systems, providing single-sign-on access to the Applicant Tracking solution, Sage Cyber Recruiter. By offering a centralized, on-demand resource for corporate training and development, Sage Cyber Train enhances the learning experience. Its flexible deployment options, whether on-premise or cloud-based, foster a streamlined learning environment that effectively tracks and manages progress. Additionally, it allows users to organize and distribute various types of course materials, enabling the creation of tailored course curricula and the administration of certification programs that cater to specific organizational needs. Furthermore, the system significantly boosts hiring efficiency and enhances the candidate experience by automating the entire recruiting and onboarding process. This combination of features ensures that organizations can focus on growth while maintaining high standards in training and recruitment.
API Access
Has API
API Access
Has API
Integrations
Amazon SageMaker
Amazon SageMaker Unified Studio
ZenML
Pricing Details
$0.08 per month
Free Trial
Free Version
Pricing Details
No price information available.
Free Trial
Free Version
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Vendor Details
Company Name
Amazon Web Services
Founded
2006
Country
United States
Website
aws.amazon.com/es/sagemaker/data-labeling/
Vendor Details
Company Name
Visibility Software
Founded
1999
Country
United States
Website
go.visibilitysoftware.com/training
Product Features
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
Product Features
Training
Academic / Education
Asynchronous Learning
Blended Learning
Built-In Course Authoring
Built-in LMS
Certification Management
Corporate / Business
Learner Portal
Mobile Learning
Simulation
Synchronous Learning
Training Companies
eCommerce