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What is Kern?

Kern stands out where other approaches fall short, empowering data-centric applications in numerous sectors and industries. Our offerings can be seamlessly deployed in-house, whether utilizing public or private cloud environments, or on local servers. Central to Kern is the groundbreaking Weak Supervision technique, which enables the automatic incorporation of noisy data heuristics, resulting in an impressive labeling speed that is 100 times quicker. As we enrich your datasets with essential metadata, this information can be efficiently prioritized and segmented, leading to considerable time savings and enhanced quality. Additionally, Kern is built to engage subject matter experts throughout the AI development lifecycle, promoting collaboration to tackle real-world challenges effectively. We prioritize security above all else, providing Kern across various platforms to ensure strong data protection, whether in the cloud or on-site. Our labeling solution is adaptable and works with any JSON structure, allowing us to manage a wide array of formats, including CSV files, text documents, images, and time series data. By accommodating these varied formats, we guarantee that our clients can fully leverage their data's potential across multiple applications, ultimately driving better insights and outcomes. This flexibility not only enhances the data's utility but also supports greater innovation in the solutions we provide.

What is Amazon SageMaker?

Amazon SageMaker is a robust platform designed to help developers efficiently build, train, and deploy machine learning models. It unites a wide range of tools in a single, integrated environment that accelerates the creation and deployment of both traditional machine learning models and generative AI applications. SageMaker enables seamless data access from diverse sources like Amazon S3 data lakes, Redshift data warehouses, and third-party databases, while offering secure, real-time data processing. The platform provides specialized features for AI use cases, including generative AI, and tools for model training, fine-tuning, and deployment at scale. It also supports enterprise-level security with fine-grained access controls, ensuring compliance and transparency throughout the AI lifecycle. By offering a unified studio for collaboration, SageMaker improves teamwork and productivity. Its comprehensive approach to governance, data management, and model monitoring gives users full confidence in their AI projects.

Media

Media

Integrations Supported

AWS Step Functions
Amazon EC2 G4 Instances
Amazon EC2 Trn1 Instances
Amazon FSx for Lustre
Amazon Nova Forge
Amazon SageMaker Clarify
Amazon SageMaker HyperPod
Amazon SageMaker Model Deployment
Amazon SageMaker Model Monitor
Camunda
Coral
Deepchecks
Domino Enterprise AI Platform
JetBrains Datalore
LiteLLM
StrongDM
Superwise
Vectice
Wallaroo.AI
ZenML

Integrations Supported

AWS Step Functions
Amazon EC2 G4 Instances
Amazon EC2 Trn1 Instances
Amazon FSx for Lustre
Amazon Nova Forge
Amazon SageMaker Clarify
Amazon SageMaker HyperPod
Amazon SageMaker Model Deployment
Amazon SageMaker Model Monitor
Camunda
Coral
Deepchecks
Domino Enterprise AI Platform
JetBrains Datalore
LiteLLM
StrongDM
Superwise
Vectice
Wallaroo.AI
ZenML

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

Kern AI

Date Founded

2020

Company Location

Germany

Company Website

www.kern.ai/platform

Company Facts

Organization Name

Amazon

Date Founded

1994

Company Location

United States

Company Website

aws.amazon.com/sagemaker/

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)

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

Categories and 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

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