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What is H2O.ai?

H2O.ai leads the way in open-source artificial intelligence and machine learning, striving to make AI available to everyone. Our advanced platforms are tailored for enterprise use and assist numerous data scientists within over 20,000 organizations globally. By empowering businesses in various fields, including finance, insurance, healthcare, telecommunications, retail, pharmaceuticals, and marketing, we are playing a crucial role in cultivating a new generation of companies that leverage AI to produce real value and innovation in the modern market. Our dedication to democratizing technology is not just about accessibility; it's about reshaping the operational landscape across industries to encourage growth and resilience in a rapidly evolving environment. Through these efforts, we aspire to redefine the future of work and enhance productivity across sectors.

What is DVC?

Data Version Control (DVC) is an open-source tool tailored for the management of version control within data science and machine learning projects. It features a Git-like interface that enables users to systematically arrange data, models, and experiments, simplifying the oversight and versioning of various file types, such as images, audio, video, and text. This tool structures the machine learning modeling process into a reproducible workflow, ensuring that experimentation remains consistent. DVC seamlessly integrates with existing software engineering tools, allowing teams to articulate every component of their machine learning projects through accessible metafiles that outline data and model versions, pipelines, and experiments. This approach not only promotes adherence to best practices but also fosters the use of established engineering tools, effectively bridging the divide between data science and software development. By leveraging Git, DVC supports the versioning and sharing of entire machine learning projects, which includes source code, configurations, parameters, metrics, data assets, and processes by committing DVC metafiles as placeholders. Its user-friendly design enhances collaboration among team members, boosting both productivity and innovation throughout various projects, ultimately leading to more effective results in the field. As teams adopt DVC, they find that the structured approach helps streamline workflows, making it easier to track changes and collaborate efficiently.

Media

Media

Integrations Supported

BentoML
Cirrascale
Datatron
Domino Enterprise AI Platform
FeatureByte
HPE Ezmeral
MLflow
Microsoft Azure
Radicalbit
Superwise
TruEra
Vertica
witboost

Integrations Supported

Git
Visual Studio Code

API Availability

API Availability

Pricing Information

Pricing not provided

Pricing Information

Pricing not provided

Supported Platforms

Windows

Supported Platforms

Windows
Mac
Linux

Customer Service / Support

Standard Support

Customer Service / Support

Standard Support
Web-Based Support

Training Options

Documentation Hub
Webinars
On-Site Training

Training Options

Documentation Hub
Webinars
On-Site Training

Company Facts

Organization Name

H2O.ai

Date Founded

2011

Company Location

United States

Company Website

www.h2o.ai

Company Facts

Organization Name

iterative.ai

Date Founded

2018

Company Location

United States

Company Website

dvc.org

Categories and Features

AI Insurance

Not specified

Artificial Intelligence

For Healthcare
Machine Learning
Predictive Analytics
Process/Workflow Automation
Virtual Personal Assistant (VPA)

Data Science

Not specified

Deep Learning

Convolutional Neural Networks
Document Classification
ML Algorithm Library
Model Training
Visualization

Machine Learning

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

ML Model Deployment

Not specified

ML Model Management

Not specified

Categories and Features

ML Model Deployment

Not specified

ML Model Management

Not specified

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