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What is Spatialedge?

An innovative AI toolkit encompasses the SE data platform, proven methodologies, and a dedicated group of highly proficient specialists. This comprehensive toolkit not only streamlines but also accelerates the creation of customized enterprise AI solutions that yield substantial business benefits. Our knowledgeable team is ready to help you manage and unify all the data across your organization. By dismantling data silos, we transform disparate information into actionable data assets and establish robust feature stores to empower your data scientists. We will assist you in focusing on the development of the most impactful machine learning (ML) models and executing effective proof-of-concept projects to forge strong business cases. Our strategy incorporates the design of high-performance ML models that can be effortlessly deployed and integrated within your existing frameworks. Should your organization already possess a data science team, our offerings will enhance their capabilities, refining your machine learning engineering practices and improving your overall workflows for superior results. This collaborative methodology not only ensures that your AI projects are in harmony with your business objectives but also drives tangible outcomes that can be measured and evaluated over time. Ultimately, our goal is to foster a sustainable AI ecosystem that continuously evolves alongside your organization's needs.

What is Amazon SageMaker Studio?

Amazon SageMaker Studio is a robust integrated development environment (IDE) that provides a cohesive web-based visual platform, empowering users with specialized resources for every stage of machine learning (ML) development, from data preparation to the design, training, and deployment of ML models, thus significantly boosting the productivity of data science teams by up to 10 times. Users can quickly upload datasets, start new notebooks, and participate in model training and tuning, while easily moving between various stages of development to enhance their experiments. Collaboration within teams is made easier, allowing for the straightforward deployment of models into production directly within the SageMaker Studio interface. This platform supports the entire ML lifecycle, from managing raw data to overseeing the deployment and monitoring of ML models, all through a single, comprehensive suite of tools available in a web-based visual format. Users can efficiently navigate through different phases of the ML process to refine their models, as well as replay training experiments, modify model parameters, and analyze results, which helps ensure a smooth workflow within SageMaker Studio for greater efficiency. Additionally, the platform's capabilities promote a culture of collaborative innovation and thorough experimentation, making it a vital asset for teams looking to push the boundaries of machine learning development. Ultimately, SageMaker Studio not only optimizes the machine learning development journey but also cultivates an environment rich in creativity and scientific inquiry. Amazon SageMaker Unified Studio is an all-in-one platform for AI and machine learning development, combining data discovery, processing, and model creation in one secure and collaborative environment. It integrates services like Amazon EMR, Amazon SageMaker, and Amazon Bedrock.

Media

Media

Integrations Supported

AWS Glue
Amazon EMR
Amazon SageMaker
Amazon SageMaker Data Wrangler
Amazon SageMaker Debugger
Amazon Web Services (AWS)
Jupyter Notebook
PyTorch
TensorFlow

Integrations Supported

AWS Glue
Amazon EMR
Amazon SageMaker
Amazon SageMaker Data Wrangler
Amazon SageMaker Debugger
Amazon Web Services (AWS)
Jupyter Notebook
PyTorch
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

Spatialedge

Date Founded

2016

Company Location

South Africa

Company Website

spatialedge.co.za

Company Facts

Organization Name

Amazon

Date Founded

1994

Company Location

United States

Company Website

aws.amazon.com/sagemaker/studio/

Categories and Features

Artificial Intelligence

Chatbot
For Healthcare
For Sales
For eCommerce
Image Recognition
Machine Learning
Multi-Language
Natural Language Processing
Predictive Analytics
Process/Workflow Automation
Rules-Based Automation
Virtual Personal Assistant (VPA)

Categories and Features

IDE

Code Completion
Compiler
Cross Platform Support
Debugger
Drag and Drop UI
Integrations and Plugins
Multi Language Support
Project Management
Text Editor / Code Editor

Machine Learning

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

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