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Average Ratings 13 Ratings

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ease
features
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support

Description

Amazon SageMaker is a comprehensive machine learning platform that integrates powerful tools for model building, training, and deployment in one cohesive environment. It combines data processing, AI model development, and collaboration features, allowing teams to streamline the development of custom AI applications. With SageMaker, users can easily access data stored across Amazon S3 data lakes and Amazon Redshift data warehouses, facilitating faster insights and AI model development. It also supports generative AI use cases, enabling users to develop and scale applications with cutting-edge AI technologies. The platform’s governance and security features ensure that data and models are handled with precision and compliance throughout the entire ML lifecycle. Furthermore, SageMaker provides a unified development studio for real-time collaboration, speeding up data discovery and model deployment.

Description

Our decentralized platform streamlines AI data collection and labeling through a worldwide contributor network. By combining crowdsourcing with blockchain technology, we deliver high-quality, traceable datasets. Platform Highlights: Worldwide Collection: Tap into global contributors for comprehensive data gathering Blockchain Security: Every contribution tracked and verified on-chain Quality Focus: Expert validation ensures exceptional data standards Platform Benefits: Rapid scaling of data collection Complete data providence tracking Validated datasets ready for AI use Cost-efficient global operations Flexible contributor network How It Works: Define Your Needs: Create your data collection task Community Activation: Global contributors notified and start gathering data Quality Control: Human verification layer validates all contributions Sample Review: Get dataset sample for approval Full Delivery: Complete dataset delivered once approved

API Access

Has API

API Access

Has API

Screenshots View All

Screenshots View All

Integrations

AWS Deep Learning Containers
AWS Step Functions
Acryl Data
Amazon EC2 Trn2 Instances
Amazon Redshift
Amazon SageMaker Debugger
Amazon SageMaker Model Building
Camunda
Datasaur
Determined AI
Domino Enterprise MLOps Platform
Kedro
LightOn
Qlik Staige
Ray
StrongDM
Superwise
Taipy
Vectice
Wizata

Integrations

AWS Deep Learning Containers
AWS Step Functions
Acryl Data
Amazon EC2 Trn2 Instances
Amazon Redshift
Amazon SageMaker Debugger
Amazon SageMaker Model Building
Camunda
Datasaur
Determined AI
Domino Enterprise MLOps Platform
Kedro
LightOn
Qlik Staige
Ray
StrongDM
Superwise
Taipy
Vectice
Wizata

Pricing Details

No price information available.
Free Trial
Free Version

Pricing Details

No price information available.
Free Trial
Free Version

Deployment

Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook

Deployment

Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook

Customer Support

Business Hours
Live Rep (24/7)
Online Support

Customer Support

Business Hours
Live Rep (24/7)
Online Support

Types of Training

Training Docs
Webinars
Live Training (Online)
In Person

Types of Training

Training Docs
Webinars
Live Training (Online)
In Person

Vendor Details

Company Name

Amazon

Founded

1994

Country

United States

Website

aws.amazon.com/sagemaker/

Vendor Details

Company Name

OORT DataHub

Country

United States

Website

www.oortech.com

Product Features

Data Labeling

Human-in-the-loop
Labeling Automation
Labeling Quality
Performance Tracking
Polygon, Rectangle, Line, Point
SDK
Supports Audio Files
Task Management
Team Collaboration
Training Data Management

Machine Learning

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

Product Features

AI Development

OORT offers a comprehensive ecosystem for AI development that encompasses all key components: data acquisition, annotation, storage, and computational resources. Our platform guarantees that AI models are trained using high-quality datasets that are ethically sourced and recorded on the blockchain for enhanced transparency and reliability. With scalable storage options and a forthcoming computing layer, developers can access all necessary tools to efficiently build, train, and deploy their AI models. By embedding data integrity, security, and scalability into a cohesive workflow, OORT streamlines the AI development process, fostering rapid innovation with dependable data and infrastructure.

AI Infrastructure

OORT offers a comprehensive AI infrastructure that encompasses every stage of the process, from gathering and annotating data to its storage and computational needs. Our worldwide network facilitates the training of AI models with a variety of high-quality datasets obtained from genuine contributors, promoting authenticity and minimizing bias. Each data entry is securely recorded on a blockchain, ensuring a verifiable and tamper-resistant audit trail that upholds trust and integrity. With scalable decentralized storage and a forthcoming compute layer, OORT removes the dependency on disjointed systems, empowering developers to effortlessly create, train, and deploy AI within a cohesive, transparent, and efficient framework.

Artificial Intelligence

OORT DataHub propels the advancement of AI by offering developers access to premium, ethically obtained datasets sourced from a worldwide community of contributors. Our decentralized platform guarantees that each data entry is logged on-chain, validated by humans, and designed to uphold privacy. Utilizing a transparent and trustless system, we eradicate bias, bolster traceability, and ensure data integrity throughout the process. With OORT, developers can create robust AI models using secure, verifiable, and varied datasets—advancing AI innovation while maintaining trust and precision.

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)

Blockchain

OORT leverages blockchain technology to establish a robust framework of trust, safety, and clarity in the realm of AI data. Each data input is permanently logged on the blockchain, forming a secure and unchangeable record that affirms its legitimacy and deters any alterations. This decentralized method of verification removes the need for middlemen, guaranteeing that all data is open, traceable, and confirmable throughout its lifecycle. By embedding blockchain at its foundation, OORT pioneers a new benchmark for responsible, transparent, and reliable AI data governance.

Crowdsourcing

OORT DataHub harnesses the power of crowdsourcing to fuel AI with a rich variety of top-notch data sourced from a worldwide community of contributors. By allowing individuals to engage in the processes of data collection and labeling, we eliminate conventional obstacles to the creation of AI datasets while guaranteeing true representation from the real world. Each contribution is securely recorded on the blockchain to ensure authenticity and traceability, supported by a robust reputation system, validation mechanisms, and human oversight that uphold the highest standards of data integrity. This decentralized and transparent model guarantees that AI systems are built on verified, bias-resistant, and ethically sourced datasets, fostering a scalable and reliable data ecosystem for AI innovation.

Data Collection

OORT DataHub transforms the way data is gathered by utilizing a decentralized global network to collect extensive real-world information. Each submission is documented on-chain, guaranteeing its authenticity, traceability, and protection against tampering. By eliminating centralized authorities, our approach facilitates a wide array of data sourcing that is both diverse and impartial, all while upholding privacy and ethical standards. Featuring integrated fraud detection and human oversight, OORT ensures the production of high-caliber datasets that support trustworthy AI advancements without sacrificing integrity or safety.

Data Labeling

OORT DataHub revolutionizes the data labeling process by adopting a decentralized approach that prioritizes precision and accuracy, ensuring that AI models are constructed on reliable and impartial data. Our platform integrates AI-driven tools with human validation to produce meticulously annotated datasets that adhere to the strictest quality benchmarks. Each labeled data entry is documented on a blockchain, ensuring complete traceability and safeguarding against manipulation. This methodology not only boosts the dependability of training datasets but also upholds ethical standards, positioning OORT as a trustworthy cornerstone for the advancement of machine learning.

Human-in-the-loop
Labeling Automation
Labeling Quality
Performance Tracking
Polygon, Rectangle, Line, Point
SDK
Supports Audio Files
Task Management
Team Collaboration
Training Data Management

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