H2O AI

Introduction

H2O AI is a cloud-based platform that aims to democratize AI with automated machine learning and make machine learning models and AI applications more accessible to users. The company offers a state-of-the-art AI platform that streamlines performance monitoring and can adapt to changing conditions, making it easier for users to deliver innovative solutions. H2O AI's goal is to empower more people globally to make a positive impact with the help of AI.

TLDR

H2O AI is a state-of-the-art AI cloud platform that offers features like no-code/deep learning, low-code AI app development, and model hosting and deployment. The platform enables users to extract and infuse data with intelligence and make accurate, fast, and transparent machine learning models and AI applications. The platform can be used across industries and use cases for credit scoring, fraud mitigation, transportation optimization, lead scoring, assortment optimization, and more. H2O AI's platform provides a COVID-19 tracking feature that enables healthcare providers to predict future admission rates and allocate resources effectively. The platform provides features to detect and explain bias, ensuring responsible AI in government.

Company Overview

H2O AI is a state-of-the-art AI cloud platform that enables organizations to make machine learning models and AI applications with accuracy, speed, and transparency. The company's goal is to democratize AI with automated machine learning by providing everyone access to AI technologies and empowering more people around the world to make a positive impact with the help of AI.

H2O AI's platform streamlines performance monitoring and can rapidly adapt to changing conditions, making it easy for businesses to deliver innovative solutions to end-users with an intuitive AI AppStore. Whether it's credit scoring and customer churn or anti-money laundering and predictive maintenance, H2O AI's platform can be used in various industries and use cases.

The platform offers an open-source distributed machine learning tool that can extract data with intelligence, no-code deep learning, low-code AI app development framework, and model hosting, monitoring, and deployment. H2O AI's industry and use cases AI apps provide a responsible AI solution for government, clinical workflow, predicting ICU transfers, claims management, fraud mitigation, transportation optimization, content personalization, lead scoring, assortment optimization, pricing optimization, predictive customer support, predictive fleet maintenance, and track, predicting, and managing COVID-19 related hospital admissions.

H2O AI's state-of-the-art AI platform enables organizations to automate the entire data science lifecycle, including making AI with any type of data, operating and governing AI across the entire enterprise, and innovating by sharing and using AI applications to drive decisions. The platform's highly scalable elastic environment for the AI lifecycle provides an opportunity for hands-on learning, asking and answering questions, and collaboration.

Currently employing 25 Kaggle Grandmasters, the best-in-the-world machine learning practitioners, and data scientists, H2O AI digitizes their best thinking into software. Additionally, H2O AI offers various resources and enterprise team access for building responsible AI models and applications. The company's state-of-the-art AI platform provides an opportunity to innovate and goes beyond just building models; it creates an environment that ensures customers can automate the entire data science lifecycle, innovate, and deliver cutting-edge technology solutions to their organizations while transforming the world.

Features

State-of-the-Art AI Cloud Platform

Make Models and Applications with Accuracy, Speed and Transparency

The H2O AI Cloud is a cloud-based platform that provides state-of-the-art AI capabilities to users, allowing them to develop and deploy highly accurate and transparent models, as well as AI-powered applications. With the help of this platform, users can streamline the entire machine learning lifecycle, from data preparation to model deployment, performance monitoring, and adaptation to changing conditions. The H2O AI Cloud leverages automatic machine learning, which gives users more speed, accuracy and transparency throughout the entire machine learning lifecycle. Additionally, this platform provides a perceptive AI AppStore that enables users to easily deliver innovative solutions to end users.

Streamline Performance Monitoring and Rapidly Adapt to Changing Conditions

The H2O AI Cloud makes it easy for users to monitor and manage performance, and to adapt rapidly to changing conditions, thanks to its advanced features that allow for performance monitoring, continuous delivery and deployment, and adaptive scaling. With the help of this platform, users can ensure that their models and AI applications remain up-to-date and relevant, and can be modified easily as the circumstances or data changes.

Democratizing AI with Automated Machine Learning

The H2O AI Cloud is built on top of automated machine learning, which enables users to democratize AI and make it more accessible to everyone. With this platform, users can easily make models and applications with high accuracy, speed and transparency, without the need for extensive data science knowledge or experience. Additionally, the H2O AI Cloud provides an open-source distributed machine learning feature that allows users to take advantage of the latest machine learning advancements in an open and collaborative environment.

Extracting Data with Intelligence

No-Code Deep Learning

The H2O AI Cloud allows you to build deep learning models without the need for extensive coding knowledge. Thanks to its no-code deep learning feature, users can easily build state-of-the-art models using a simple and intuitive drag-and-drop interface. This makes it easier for users without specialized knowledge to take advantage of deep learning, and to integrate it into their workflows and applications for improved insights and better decision-making.

Low-Code AI AppDev Framework

The H2O AI Cloud also provides a low-code AI application development framework that enables users to develop and deploy their own AI-powered applications with ease. With its low-code framework, the H2O AI Cloud makes it easy to build highly intuitive and interactive applications with minimal coding knowledge. Additionally, the H2O AI Cloud provides a model hosting, monitoring and deployment feature to ensure that applications remain up-to-date and perform reliably.

Infuse Your Data with Intelligence

The H2O AI Cloud makes it easy for users to transform raw data into actionable insights with its data intelligence feature, which includes feature engineering, feature store, and automated machine learning capabilities. With this platform, users can automatically visualize and address data quality issues with advanced feature engineering, which transforms data into an optimal modeling dataset. Users can also easily surface interesting statistical properties and automate data insights with built-in visualization tools. Additionally, the H2O AI Cloud provides a feature store component that allows users to easily manage and provision access to curated features, ensuring quality and consistency in building machine learning models across their organization.

Model Hosting, Monitoring and Deployment

Industry and Use Case AI Apps

The H2O AI Cloud provides a comprehensive model hosting, monitoring and deployment feature that enables users to streamline their entire machine learning lifecycle, from data preparation to model deployment. With this feature, users can ensure their models remain reliable and perform well, with the flexibility to modify and optimize models as needed. The H2O AI Cloud also includes a range of industry and use case AI apps, such as credit scoring, customer churn prediction, anti-money laundering, clinical workflow optimization, and transportation optimization, to name just a few.

Track, Predict and Manage COVID-19 Related Hospital Admissions

The H2O AI Cloud provides a COVID-19 tracking feature that allows healthcare providers to track, predict and manage COVID-19 related hospital admissions. With this feature, users can easily monitor the spread of the virus and predict future admission rates, allowing hospitals to prepare and allocate resources effectively. The H2O AI Cloud also includes a range of other features that are designed to improve healthcare outcomes, such as predicting ICU transfers and automating workflows with document AI.

Use Responsible AI in Government

The H2O AI Cloud provides a range of features that are designed to ensure responsible AI in government, including features for bias detection, interpretability methods, and third-party models. With its advanced features for detecting and explaining bias, the H2O AI Cloud enables government agencies to ensure that their AI models are fair and unbiased, while also providing transparency and explanation of model output. Additionally, the H2O AI Cloud provides access to a range of post-hoc explanation methods and explainability tools that enable users to better understand why their machine learning models made the decisions they did, so that they can improve their models and avoid bias in the future.