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What is GUMU?

As companies increasingly implement IT systems to enhance their operational efficiency, there is a growing need for integrated management solutions. At the forefront of this shift are CRM and ERP software, which enable streamlined process management. Greytrix distinguishes itself through its considerable experience and strong collaboration with Sage, providing exceptional ERP and CRM solutions. Furthermore, Greytrix has introduced GUMUâ„¢ Cloud, a pioneering cloud integration platform designed to simplify the linkage between these systems. This state-of-the-art framework utilizes advanced technology to offer easy plug-and-play integration, removing the requirement for a dedicated on-premise server for these integrations. With GUMUâ„¢, businesses gain access to a powerful integration solution that connects Sage ERPs (including Sage X3, Sage Intacct, Sage 100, and Sage 300), Acumatica, and QuickBooks with various CRM platforms such as MS Dynamics 365, Sage CRM, and Salesforce, as well as eCommerce platforms like Adobe Commerce (formerly Magento) and Shopify, in addition to POS systems. This wide-ranging connectivity empowers organizations to operate with greater efficiency and effectiveness throughout their entire technological ecosystem, ultimately driving better business outcomes and fostering growth.

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

Acumatica Cloud ERP
Adobe Commerce
Amazon SageMaker
Amazon SageMaker Unified Studio
Avalara
BlackLine
Configure One Cloud
Magento
Microsoft Azure
Microsoft Dynamics 365
SAGE
Sage 100
Sage 300
Sage CRM
Sage Intacct
Sage X3
Salesforce
Shopify
ZenML

Integrations Supported

Acumatica Cloud ERP
Adobe Commerce
Amazon SageMaker
Amazon SageMaker Unified Studio
Avalara
BlackLine
Configure One Cloud
Magento
Microsoft Azure
Microsoft Dynamics 365
SAGE
Sage 100
Sage 300
Sage CRM
Sage Intacct
Sage X3
Salesforce
Shopify
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

GUMU

Company Location

United States

Company Website

gumu.greytrix.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

Integration

Dashboard
ETL - Extract / Transform / Load
Metadata Management
Multiple Data Sources
Web Services

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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