Product Overview
H2O.ai offers a comprehensive suite of products and platforms that accelerate the adoption and implementation of AI and ML. The core of their offerings includes:
H2O AI Cloud
The H2O AI Cloud is an end-to-end AI platform that enables users to create, deploy, monitor, and share data models or AI applications for virtually any use case. It can be deployed on Kubernetes and run on most cloud or on-premise infrastructure.
Key Features and Functionality
Automated Machine Learning (autoML)
H2O AI Cloud features robust autoML capabilities that span the entire data science lifecycle, from feature transformation to model selection, monitoring, and deployment. This automation helps in creating highly accurate and robust models quickly, reducing the time and effort required by data scientists.
Feature Engineering and Selection
The platform includes automatic feature engineering, which employs a library of algorithms and feature transformations to engineer new, high-value features from the dataset. This process is enhanced by dimensionality reduction techniques that select the most predictive features, reducing model complexity and improving interpretability.
Data Preparation and Insights
H2O AI Cloud offers automated data insights, including visual and text descriptions of detected trends, correlations, and outliers. It also includes pre-processing transformers, missing value handling, and dataset splitting techniques to ensure high-quality data preparation.
Model Development and Deployment
The platform provides model leaderboards to speed up model development, selection, and validation. It also supports the deployment of models with features like diagnostics, which show model performance across different groups and how predictions were generated.
Text and Image Processing
H2O AI Cloud includes capabilities for text preprocessing, such as stop word removal, stemming/lemmatization, and emoji extraction, as well as text classification using algorithms like TFIDF and BERT transformers. For image processing, it uses convolutional neural networks (CNNs) with GPU acceleration.
Collaboration and Transparency
The platform enhances cross-team collaboration, ensuring a cycle of continuous learning and innovation. It provides transparency around the creation and use of AI solutions, making it easier for business users and regulators to understand the models and their outputs.
H2O AutoInsights
Integrated with the H2O AI Cloud, H2O AutoInsights enables automatic exploratory data analysis, discovering hidden insights in the data through statistical and machine learning analyses. This feature provides interactive visuals and narrative summaries to elevate the value of the data.
H2O Driverless AI
H2O Driverless AI is an award-winning platform that augments and complements the efforts of data scientists. It automates many tasks, such as feature engineering, model tuning, and documentation, allowing data scientists to work faster and more efficiently. The platform includes an Autoreport (Autodoc) feature that documents the entire workflow, saving time in development, validation, and deployment.
Additional Components
- AI App Store: Provides a marketplace for AI applications.
- H2O Enterprise Steam: Manages the AI engines behind the H2O AI Cloud.
- H2O-3 and H2O Hydrogen Torch: These are part of the backend services that power the automated machine learning capabilities.
In summary, H2O.ai’s products, particularly the H2O AI Cloud and H2O Driverless AI, are designed to make AI accessible, efficient, and transparent. They offer a wide range of automated features that streamline the data science lifecycle, from data preparation and feature engineering to model deployment and monitoring, thereby democratizing AI and enabling businesses to move quickly from idea to impact.