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What is Sage?

Sage equips communities with the tools needed to collect important data while also allowing them to derive insights that improve key business metrics. Its modern, cohesive interface simplifies the diverse array of tools used by caregivers, enhancing communication and fostering a more knowledgeable, efficient, and collaborative care environment. Residents gain from an easy-to-navigate, real-time alert system that guarantees they receive necessary assistance or care at precisely the right moment. This innovative technology not only connects care teams via the application but also compiles essential data that fuels analytics and generates valuable insights. With Sage’s accessible platform, community teams can effectively prioritize and manage crucial daily support tasks tailored to resident needs, which ultimately leads to improved outcomes and experiences for those being served. The platform boasts a dynamic dashboard that delivers all-encompassing data regarding care and operations, allowing for immediate access to insights on resident care necessities and community performance metrics, along with actionable guidance and efficient reporting tools. By adopting this comprehensive strategy to data and care management, Sage stands out as a vital resource for communities aspiring to enhance their service quality and ensure that every resident’s needs are met promptly and effectively. Additionally, the integration of such technology promises to create a more responsive and adaptive care environment, further solidifying Sage's value in modern caregiving settings.

What is Amazon SageMaker Ground Truth?

Amazon SageMaker offers a suite of tools designed for the identification and organization of diverse raw data types such as images, text, and videos, enabling users to apply significant labels and generate synthetic labeled data that is vital for creating robust training datasets for machine learning (ML) initiatives. The platform encompasses two main solutions: Amazon SageMaker Ground Truth Plus and Amazon SageMaker Ground Truth, both of which allow users to either engage expert teams to oversee the data labeling tasks or manage their own workflows independently. For users who prefer to retain oversight of their data labeling efforts, SageMaker Ground Truth serves as a user-friendly service that streamlines the labeling process and facilitates the involvement of human annotators from platforms like Amazon Mechanical Turk, in addition to third-party services or in-house staff. This flexibility not only boosts the efficiency of the data preparation stage but also significantly enhances the quality of the outputs, which are essential for the successful implementation of machine learning projects. Ultimately, the capabilities of Amazon SageMaker significantly reduce the barriers to effective data labeling and management, making it a valuable asset for those engaged in the data-driven landscape of AI development.

Media

Media

Integrations Supported

Amazon SageMaker
Amazon SageMaker Unified Studio
Childcare online Booking
Longview Transfer Pricing
TelecomBilling.Net
ZenML

Integrations Supported

Amazon SageMaker
Amazon SageMaker Unified Studio
Childcare online Booking
Longview Transfer Pricing
TelecomBilling.Net
ZenML

API Availability

Has API

API Availability

Has API

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Pricing Information

$0.08 per month
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

Sage

Date Founded

2020

Company Location

United States

Company Website

www.hellosage.com

Company Facts

Organization Name

Amazon Web Services

Date Founded

2006

Company Location

United States

Company Website

aws.amazon.com/es/sagemaker/data-labeling/

Categories and Features

Assisted Living

Admissions Management
Billing & Invoicing
Building Maintenance
Care Planning
Event / Activities Planning
Incident Management
Marketing / Lead Management
Meal / Nutrition Management
Medical Records
Medication Tracking
New Resident Assessment
Resident Info Management
Scheduling
Staff Management
Work Order Management

Categories and 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

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