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features
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support

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Description

With Amazon SageMaker Pipelines, you can effortlessly develop machine learning workflows using a user-friendly Python SDK, while also managing and visualizing your workflows in Amazon SageMaker Studio. By reusing and storing the steps you create within SageMaker Pipelines, you can enhance efficiency and accelerate scaling. Furthermore, built-in templates allow for rapid initiation, enabling you to build, test, register, and deploy models swiftly, thereby facilitating a CI/CD approach in your machine learning setup. Many users manage numerous workflows, often with various versions of the same model. The SageMaker Pipelines model registry provides a centralized repository to monitor these versions, simplifying the selection of the ideal model for deployment according to your organizational needs. Additionally, SageMaker Studio offers features to explore and discover models, and you can also access them via the SageMaker Python SDK, ensuring versatility in model management. This integration fosters a streamlined process for iterating on models and experimenting with new techniques, ultimately driving innovation in your machine learning projects.

Description

Enhance your understanding of your data by mastering the features of Sage Intelligence alongside Microsoft Excel. Sage Intelligence serves as a straightforward and adaptable reporting tool that provides significant insights into your business data wherever you are. Accessible both in the cloud and on-premise for Sage Accounting, Business Management, and payroll solutions, this tool grants you instant access to a variety of pre-built reports and dashboards, enabling you to gather immediate insights without departing from your Sage environment. You can swiftly view and examine data through an extensive collection of robust reports and dashboards. Take charge of your business analytics by customizing financial reports to meet your requirements. Furthermore, gain a comprehensive overview of your business while having the capability to delve into specific details, equipping you with the insights necessary for informed decision-making and strategic planning. This comprehensive approach ensures that you have all the necessary tools to analyze, adapt, and act upon your business data effectively.

API Access

Has API No 

API Access

Has API No 

Screenshots View All

Screenshots View All

Integrations

Amazon SageMaker Yes 
Amazon Web Services (AWS) Yes 
Google Sheets No 
Microsoft Excel No 
Monk No 
Sage 100 No 
Sage 300 No 
Sage 50 No 
Sage Accounting No 
Sage Payroll No 
Sage X3 No 

Integrations

Amazon SageMaker No 
Amazon Web Services (AWS) No 
Google Sheets Yes 
Microsoft Excel Yes 
Monk Yes 
Sage 100 Yes 
Sage 300 Yes 
Sage 50 Yes 
Sage Accounting Yes 
Sage Payroll Yes 
Sage X3 Yes 

Pricing Details

No price information available.
Free Trial No 
Free Version No 

Pricing Details

No price information available.
Free Trial No 
Free Version No 

Deployment

Web-Based Yes 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
Windows No 
Mac No 
Linux No 
Chromebook No 

Deployment

Web-Based Yes 
On-Premises Yes 
iPhone App No 
iPad App No 
Android App No 
Windows No 
Mac No 
Linux No 
Chromebook No 

Customer Support

Business Hours No 
Live Rep (24/7) No 
Online Support Yes 

Customer Support

Business Hours Yes 
Live Rep (24/7) No 
Online Support Yes 

Types of Training

Training Docs Yes 
Webinars No 
Live Training (Online) No 
In Person No 

Types of Training

Training Docs Yes 
Webinars No 
Live Training (Online) No 
In Person No 

Vendor Details

Company Name

Amazon

Founded

2006

Country

United States

Website

aws.amazon.com/sagemaker/pipelines/

Vendor Details

Company Name

Sage

Founded

1981

Country

United Kingdom

Website

www.sageintelligence.com

Product Features

Continuous Delivery

Application Lifecycle Management No 
Application Release Automation No 
Build Automation No 
Build Log No 
Change Management No 
Configuration Management No 
Continuous Deployment No 
Continuous Integration No 
Feature Toggles / Feature Flags No 
Quality Management No 
Testing Management No 

Continuous Integration

Build Log No 
Change Management No 
Configuration Management No 
Continuous Delivery No 
Continuous Deployment No 
Debugging No 
Permission Management No 
Quality Assurance Management No 
Testing Management No 

Machine Learning

Deep Learning No 
ML Algorithm Library No 
Model Training No 
Natural Language Processing (NLP) No 
Predictive Modeling No 
Statistical / Mathematical Tools No 
Templates No 
Visualization No 

Product Features

Business Intelligence

Ad Hoc Reports No 
Benchmarking No 
Budgeting & Forecasting No 
Dashboard No 
Data Analysis No 
Key Performance Indicators No 
Natural Language Generation (NLG) No 
Performance Metrics No 
Predictive Analytics No 
Profitability Analysis No 
Strategic Planning No 
Trend / Problem Indicators No 
Visual Analytics No 

Alternatives

Alternatives

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Amazon SageMaker Ground Truth

Amazon Web Services