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What is Sage Intelligence?

Deepen your grasp of your data by gaining expertise in Sage Intelligence in conjunction with Microsoft Excel. Sage Intelligence is a user-friendly and flexible reporting tool that offers valuable insights into your business data, accessible from anywhere. Whether you are using it in the cloud or on-premise with Sage Accounting, Business Management, and payroll solutions, this tool provides you with immediate access to a wide range of pre-built reports and dashboards. This functionality allows you to quickly analyze and explore data through an extensive library of powerful reports and visualizations. You can tailor financial reports to fit your specific needs, empowering you to take command of your business analytics. Additionally, you can obtain a holistic view of your operations while also having the ability to drill down into specific metrics, ensuring you have the insights needed for sound decision-making and strategic planning. This all-encompassing approach guarantees that you are equipped with the essential resources to effectively analyze, adjust, and respond to your business data, fostering growth and efficiency. By mastering these tools, you position yourself and your business for success in an ever-evolving marketplace.

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
Google Sheets
Jupyter Notebook
MXNet
Microsoft Excel
PyTorch
Python
R
R Markdown
Sage 100
Sage 300
Sage 50
Sage Business Cloud Accounting
Sage Payroll
Sage X3
TensorFlow

Integrations Supported

Amazon SageMaker
Amazon Web Services (AWS)
Docker
GitHub
Google Cloud AutoML
Google Sheets
Jupyter Notebook
MXNet
Microsoft Excel
PyTorch
Python
R
R Markdown
Sage 100
Sage 300
Sage 50
Sage Business Cloud Accounting
Sage Payroll
Sage X3
TensorFlow

API Availability

Has API

API Availability

Has API

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

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

www.sageintelligence.com

Company Facts

Organization Name

Amazon

Date Founded

1994

Company Location

United States

Company Website

aws.amazon.com/sagemaker/build/

Categories and 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

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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