Amazon SageMaker StudioAmazon
|
||||||
Related Products
|
||||||
About
Amazon SageMaker Studio is an integrated development environment (IDE) that provides a single web-based visual interface where you can access purpose-built tools to perform all machine learning (ML) development steps, from preparing data to building, training, and deploying your ML models, improving data science team productivity by up to 10x. You can quickly upload data, create new notebooks, train and tune models, move back and forth between steps to adjust experiments, collaborate seamlessly within your organization, and deploy models to production without leaving SageMaker Studio. Perform all ML development steps, from preparing raw data to deploying and monitoring ML models, with access to the most comprehensive set of tools in a single web-based visual interface.
Amazon SageMaker Unified Studio is a comprehensive, AI and data development environment designed to streamline workflows and simplify the process of building and deploying machine learning models.
|
About
The fastest way to add Analytics to your application
Easy To Integrate
Easy To White-label
Affordable
Connect and Model
Extract data from a variety of industry-leading data sources and create configurable models that relate to your business semantics.
Query And Visualize
Bring together multiple models to create powerful analytics, and visualize data & insights into a variety of discerning forms including powerful dashboards.
Deploy and Scale
Operate in any infrastructure model - on-premise, cloud, or hybrid, ensure enterprise-grade security, and scale without impacting performance.
Software Makers
Turn your application data into insightful analytics and new revenue streams
Business Users
Create operational reports and data visualizations without any IT support
Data Explorers
Develop configurable data models and create mash-able analytics visualizations
|
|||||
Platforms Supported
Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook
|
Platforms Supported
Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook
|
|||||
Audience
Professionals interested in a tool to perform all ML development steps, from preparing data to deploying and monitoring ML models
|
Audience
Companies looking for a business intelligence tool to add analytics to their application
|
|||||
Support
Phone Support
24/7 Live Support
Online
|
Support
Phone Support
24/7 Live Support
Online
|
|||||
API
Offers API
|
API
Offers API
|
|||||
Screenshots and Videos |
Screenshots and Videos |
|||||
Pricing
No information available.
Free Version
Free Trial
|
Pricing
$599 / mo
Free Version
Free Trial
|
|||||
Reviews/
|
Reviews/
|
|||||
Training
Documentation
Webinars
Live Online
In Person
|
Training
Documentation
Webinars
Live Online
In Person
|
|||||
Company InformationAmazon
Founded: 1994
United States
aws.amazon.com/sagemaker/studio/
|
Company InformationInAppBI
United States
www.inappbi.com/index.html
|
|||||
Alternatives |
Alternatives |
|||||
|
|
|
|||||
|
|
||||||
|
|
|
|||||
Categories |
Categories |
|||||
Business Intelligence Features
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
|
||||||
Integrations
AWS Glue
Amazon EMR
Amazon SageMaker
Amazon SageMaker Data Wrangler
Amazon SageMaker Debugger
Amazon Web Services (AWS)
Jupyter Notebook
PyTorch
TensorFlow
|
Integrations
AWS Glue
Amazon EMR
Amazon SageMaker
Amazon SageMaker Data Wrangler
Amazon SageMaker Debugger
Amazon Web Services (AWS)
Jupyter Notebook
PyTorch
TensorFlow
|
|||||
|
|
|