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What is ZAP Data Hub?

Month-end close should not depend on exporting from your accounting system into spreadsheets and reconciling by hand. Zap Data Hub removes that work. It maintains a governed warehouse behind your finance system automatically, so teams report from one agreed set of numbers instead of arguing over whose workbook is correct. People keep working where they already are: Excel, Power BI, or a browser. Models arrive pre-built for each supported system, so most customers are reporting within days rather than the months a warehouse project usually takes. Consolidation across companies and currencies happens at transaction level, even where entities run different software. Supports Sage, SAP Business One, Syspro, Microsoft Dynamics and Xero. Cloud-only, fully managed, and certified to ISO/IEC 27001:2022.

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

Adobe Marketo Engage
Google Analytics
Microsoft Excel
Microsoft Power BI
NetSuite
Sage 500
Salesforce
StackHawk
Tableau
Xero
Zendesk

Integrations Supported

Amazon SageMaker
Amazon SageMaker Unified Studio
ZenML

API Availability

API Availability

Pricing Information

Pricing not provided

Pricing Information

$0.08 per month

Supported Platforms

SaaS

Supported Platforms

SaaS

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Customer Service / Support

Web-Based Support

Training Options

Not specified

Training Options

Documentation Hub

Company Facts

Organization Name

Zap

Date Founded

2001

Company Location

Australia

Company Website

www.zapbi.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

Business Intelligence

Ad Hoc Reports
Dashboard
Data Analysis
Key Performance Indicators
Performance Metrics
Predictive Analytics
Profitability Analysis
Trend / Problem Indicators
Visual Analytics

Data Integration

Not specified

Categories and Features

AI Infrastructure

Not specified

Data Annotation

Not specified

Data Labeling

Not specified

Image Annotation

Not specified

RLHF

Not specified

Video Annotation

Not specified

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