Amazon SageMaker StudioAmazon
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SAIBRESonasoft
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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.
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About
Import, model and engineer data from multiple sources to build reusable datasets. Create complex AI solutions by chaining multiple actions including custom code blocks. Use our lightweight runtime to deploy a working AI solution quickly and reliably. AI-powered monitoring tells you if there’s issues with your data sources or models. SAIBRE allows you to explore your data and build models using a simple drag-and-drop interface. This is backed up by access to our team of data science experts. Deploying an AI model as a production application is time-consuming and hard, eating up valuable DevOps resources. With SAIBRE, all this is simplified. Over time, every AI model becomes outdated. External factors are constantly changing, and your own business will change as a result of deploying AI.SAIBRE includes our industry-leading smart-monitoring solution.
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Platforms Supported
Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook
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Platforms Supported
Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook
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Audience
Professionals interested in a tool to perform all ML development steps, from preparing data to deploying and monitoring ML models
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Audience
Companies looking for a powerful Artificial Intelligence solution
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Support
Phone Support
24/7 Live Support
Online
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Support
Phone Support
24/7 Live Support
Online
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API
Offers API
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API
Offers API
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Screenshots and Videos |
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Pricing
No information available.
Free Version
Free Trial
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Pricing
No information available.
Free Version
Free Trial
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Reviews/
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Reviews/
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Training
Documentation
Webinars
Live Online
In Person
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Training
Documentation
Webinars
Live Online
In Person
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Company InformationAmazon
Founded: 1994
United States
aws.amazon.com/sagemaker/studio/
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Company InformationSonasoft
United States
www.sonasoft.com/saibre
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Categories |
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Integrations
AWS Glue
Amazon EMR
Amazon SageMaker
Amazon SageMaker Data Wrangler
Amazon SageMaker Debugger
Amazon Web Services (AWS)
Jupyter Notebook
PyTorch
TensorFlow
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Integrations
AWS Glue
Amazon EMR
Amazon SageMaker
Amazon SageMaker Data Wrangler
Amazon SageMaker Debugger
Amazon Web Services (AWS)
Jupyter Notebook
PyTorch
TensorFlow
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