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Average Ratings 0 Ratings

Total
ease
features
design
support

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Write a Review

Description

Amazon SageMaker Autopilot streamlines the process of creating machine learning models by handling the complex tasks involved. All you need to do is upload a tabular dataset and choose the target column for prediction, and then SageMaker Autopilot will systematically evaluate various strategies to identify the optimal model. From there, you can easily deploy the model into a production environment with a single click or refine the suggested solutions to enhance the model’s performance further. Additionally, SageMaker Autopilot is capable of working with datasets that contain missing values, as it automatically addresses these gaps, offers statistical insights on the dataset's columns, and retrieves relevant information from non-numeric data types, including extracting date and time details from timestamps. This functionality makes it a versatile tool for users looking to leverage machine learning without deep technical expertise.

Description

Sage empowers communities to gather valuable data while also enabling them to extract insights and enhance essential business metrics. By offering a contemporary, unified interface, it streamlines the various tools utilized by caregivers, thereby facilitating improved communication and fostering a more informed, productive, and collaborative approach to care. Residents benefit from an intuitive, real-time alert system that ensures they receive assistance or care precisely when needed. This technology not only connects care teams through the app but also gathers critical data that drives analytics and helps generate insights. With Sage’s user-friendly platform, community teams can efficiently prioritize and manage vital daily support tasks to address resident needs, ultimately enhancing outcomes and experiences for those they serve. Featuring a dynamic dashboard that presents comprehensive care and operational data, Sage enables immediate access to insights about resident care requirements and community performance metrics, along with actionable recommendations and streamlined reporting capabilities. This holistic approach to data and care management positions Sage as an essential tool for communities aiming to elevate their service quality.

API Access

Has API

API Access

Has API

Screenshots View All

Screenshots View All

Integrations

Amazon SageMaker
Amazon SageMaker Unified Studio
Amazon Web Services (AWS)
Childcare online Booking
Longview Transfer Pricing
TelecomBilling.Net

Integrations

Amazon SageMaker
Amazon SageMaker Unified Studio
Amazon Web Services (AWS)
Childcare online Booking
Longview Transfer Pricing
TelecomBilling.Net

Pricing Details

No price information available.
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

Founded

2006

Country

United States

Website

aws.amazon.com/sagemaker/autopilot

Vendor Details

Company Name

Sage

Founded

2020

Country

United States

Website

www.hellosage.com

Product Features

Machine Learning

Deep Learning
ML Algorithm Library
Model Training
Natural Language Processing (NLP)
Predictive Modeling
Statistical / Mathematical Tools
Templates
Visualization

Product 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

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