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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
Finance teams cannot trust reports built on data their BI tool never validated. Power BI and OneLake do not enforce primary keys, so duplicate records reach financial statements silently.
Zap Data Hub fixes that at the warehouse layer. It runs on Azure SQL, an ACID-compliant engine with enforced keys, and generates a star schema tuned for accounting structures. Delta processing applies only changed rows instead of reloading whole tables, which cuts both refresh windows and compute spend. A governed semantic layer keeps every consuming tool reading identical definitions.
Sources covered: Sage X3, 100, 300 and Intacct; SAP Business One; Syspro; Dynamics 365 Business Central and Finance & Operations; Dynamics AX and NAV; Wiise; Xero. REST connectors reach further systems.
Shipped as a fully managed cloud service on Microsoft Azure, certified to ISO/IEC 27001:2022.
API Access
Has API
API Access
Has API
Integrations
Adobe Marketo Engage
Amazon SageMaker
Amazon SageMaker Unified Studio
Amazon Web Services (AWS)
Google Analytics
Microsoft Excel
Microsoft Power BI
NetSuite
Sage 500
Salesforce
Integrations
Adobe Marketo Engage
Amazon SageMaker
Amazon SageMaker Unified Studio
Amazon Web Services (AWS)
Google Analytics
Microsoft Excel
Microsoft Power BI
NetSuite
Sage 500
Salesforce
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
Zap
Founded
2001
Country
Australia
Website
www.zapbi.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
Business Intelligence
Ad Hoc Reports
Benchmarking
Budgeting & Forecasting
Dashboard
Data Analysis
Key Performance Indicators
Natural Language Generation (NLG)
Performance Metrics
Predictive Analytics
Profitability Analysis
Strategic Planning
Trend / Problem Indicators
Visual Analytics