Average Ratings 0 Ratings
Average Ratings 0 Ratings
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
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
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
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