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What is Sage eCommerce?

Presenting a robust eCommerce platform tailored for Sage, facilitating a seamless entry into the online marketplace with secure and prompt connections. Given that Sage plays a pivotal role in your business operations, adopting digital transformation is crucial for boosting revenue streams and improving efficiency—therefore, considering a fully integrated eCommerce solution is a logical step forward. As the sole eCommerce offering certified by Sage, this platform stands out for its affordability and user-centric design while being scalable from the outset. You will receive immediate access to valuable insights and analytics, granting comprehensive visibility across your entire eCommerce endeavors. The platform allows you to effortlessly grow your business and enhance your brand through easy-to-use, mobile-responsive design templates accessible directly from the console. With more than 1500 integration points, this solution is crafted to refine your online business processes and optimize your return on investment, ensuring your enterprise flourishes in the digital landscape. Furthermore, the platform's flexibility enables you to tailor it as your business needs change and develop over time, ensuring it remains a vital asset in your growth strategy. This adaptability not only supports current operational needs but also positions your business for future opportunities.

What is Amazon SageMaker Model Building?

Amazon SageMaker provides users with a comprehensive suite of tools and libraries essential for constructing machine learning models, enabling a flexible and iterative process to test different algorithms and evaluate their performance to identify the best fit for particular needs. The platform offers access to over 15 built-in algorithms that have been fine-tuned for optimal performance, along with more than 150 pre-trained models from reputable repositories that can be integrated with minimal effort. Additionally, it incorporates various model-development resources such as Amazon SageMaker Studio Notebooks and RStudio, which support small-scale experimentation, performance analysis, and result evaluation, ultimately aiding in the development of strong prototypes. By leveraging Amazon SageMaker Studio Notebooks, teams can not only speed up the model-building workflow but also foster enhanced collaboration among team members. These notebooks provide one-click access to Jupyter notebooks, enabling users to dive into their projects almost immediately. Moreover, Amazon SageMaker allows for effortless sharing of notebooks with just a single click, ensuring smooth collaboration and knowledge transfer among users. Consequently, these functionalities position Amazon SageMaker as an invaluable asset for individuals and teams aiming to create effective machine learning solutions while maximizing productivity. The platform's user-friendly interface and extensive resources further enhance the machine learning development experience, catering to both novices and seasoned experts alike.

Media

Media

Integrations Supported

Amazon SageMaker
Amazon Web Services (AWS)
Docker
GitHub
Google Cloud AutoML
Integral
Jupyter Notebook
MXNet
PyTorch
Python
R
R Markdown
Sage 100
Sage Intacct
Sage X3
TensorFlow

Integrations Supported

Amazon SageMaker
Amazon Web Services (AWS)
Docker
GitHub
Google Cloud AutoML
Integral
Jupyter Notebook
MXNet
PyTorch
Python
R
R Markdown
Sage 100
Sage Intacct
Sage X3
TensorFlow

API Availability

Has API

API Availability

Has API

Pricing Information

Pricing not provided
Free Version
Free Trial Offered?

Pricing Information

Pricing not provided
Free Version
Free Trial Offered?

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

Sage

Date Founded

1981

Company Location

United Kingdom

Company Website

get.sage.com/eCommerce

Company Facts

Organization Name

Amazon

Date Founded

1994

Company Location

United States

Company Website

aws.amazon.com/sagemaker/build/

Categories and Features

eCommerce

CRM
Catalog Management
Channel Management
Customer Accounts
Data Security
Email Marketing
Inventory Management
Kitting
Loyalty Program
Mobile Access
Multi-Store Management
Order Management
Product Configurator
Promotions Management
Returns Management
Reviews Management
SEO Management
Shopping Cart
Templates

Categories and Features

Machine Learning

Deep Learning
ML Algorithm Library
Model Training
Natural Language Processing (NLP)
Predictive Modeling
Statistical / Mathematical Tools
Templates
Visualization

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