H2O AI offers a leading-edge AI cloud platform that enables individuals and organizations to build fast, accurate, and transparent models and applications in a matter of minutes. The platform offers an end-to-end solution for automating the entire data science lifecycle, including the governance and integration of AI across the enterprise.
The AI platform democratizes machine learning with automated machine learning solutions that are accessible and user-friendly. H2O AI offers a range of industry and use case AI apps for customers to choose from – including fraud mitigation, customer churn, claims management, predictive maintenance, and transportation optimization, among others. The platform’s features are designed to scale innovation, optimize operations, personalize customer experiences, and increase revenue growth.
Many well-known organizations have transformed with H2O AI’s help, including AT&T, CBA, and Epsilon, among others. H2O AI is a powerful, secure, and user-friendly platform that helps organizations leverage the best thinking of Kaggle GrandMasters, leading to unparalleled accuracy and value.
TLDR
H2O AI is an innovative AI cloud platform, offering a comprehensive suite of automated machine learning solutions that provide fast, accurate and transparent applications. The platform streamlines the data science lifecycle, automates AI management, and democratizes machine learning.
With various industry and use case applications, the platform enables organizations to scale innovation, optimize operations, increase revenue growth, personalize customer experiences, and mitigate risks. H2O AI is easy to use, secure, and has been adopted by AT&T, CBA and Epsilon, among other organizations.
H2O AI's App Store offers seamless integration with the entire H2O AI Hybrid Cloud, allowing for easy and efficient model management. The company offers OIDC, Shared Storage API and Dependency Injection, enabling users to use a single identity for all parts of the system, access a unified storage API, and allows for loose Company Overview H2O AI is a state-of-the-art AI cloud platform that allows any data analyst, developer, or data scientist to build accurate, fast, and transparent models and applications in minutes.
The platform provides an end-to-end solution that automates the entire data science lifecycle, including governing and operating AI across the entire enterprise. H2O AI democratizes AI with automated machine learning that makes the process accessible to every individual. H2O AI provides an intuitive AI AppStore that simplifies the delivery and consumption of complex solutions to business users.
The flexible platform can rapidly adapt to changing conditions and streamline performance monitoring. With the H2O AI Cloud, it is easy to deliver innovative solutions to end-users that enable them to make a positive impact with the power of AI. Various industry and use case AI apps are available to choose from, including Credit Scoring, Customer Churn, Anti-Money Laundering, Predicting ICU Transfers, Claims Management, Fraud Mitigation, Predictive Maintenance, Transportation Optimization, Content Personalization, Lead Scoring, Assortment Optimization, Pricing Optimization, and Predictive Customer Support.
Furthermore, H2O AI also helps track, predict, and manage COVID-19 related hospital admissions. Many leading organizations have transformed into an AI company with H2O AI, including CBA, AT&T, USCF Health, AES, IFFCO-Tokio, and Epsilon. H2O AI provides access to Enterprise Team, its experts, and its high-scale elastic environment for the AI lifecycle.
Additionally, H2O AI offers an online forum for asking and answering questions, collaboration, and learning. With the fastest, most accurate AI platform on the planet, H2O AI enables organizations to scale innovation, increase revenue growth, optimize operations, mitigate risk, and personalize customer experiences.
The platform helps make data and AI deliver significant value to organizations by digitizing the best thinking of the 25 Kaggle Grandmasters who work at H2O AI. Features End-to-End Solution for the AI Lifecycle Automated Machine Learning H2O AI provides automated machine learning (AutoML) that allows data analysts, developers, and data scientists to easily build accurate, fast, and transparent models and applications in minutes.
With no coding necessary, users can generate thousands of models, which the platform optimizes and selects the best ones for deployment based on their performance. Performance Monitoring and Optimization The flexible platform can rapidly adapt to changing conditions and allow users to apply their models to real-time applications. H2O AI provides performance monitoring features that allow users to identify models that have started to falter, optimize models that would benefit from more fine-tuning, and retire those that are no longer providing value.
Governing and Operating AI The platform enables an AI governance process to ensure that AI is always controlled and auditable. It allows users to manage the entire data science life-cycle, governing and operating AI across the entire enterprise.
Intuitive AI AppStore Delivery and Consumption Simplification The platform provides an AI AppStore that allows business users to consume and utilizes solutions from various AI applications easily. It simplifies the delivery and consumption of complex solutions by allowing users to select from a wide range of industry and use case applications that are readily available.
Streamlined Performance Monitoring The AI AppStore allows users to streamline the performance monitoring process. It ensures that AI models within an enterprise operate successfully and meet changing business requirements by letting users rapidly add, remove, or manage models as desired, including tracking the version history of models and maintaining a repository of model definitions.
End-Users Innovation Delivery The H2O AI Cloud makes it easy to deliver innovative solutions to end-users through the AI AppStore. This feature enables users to make a positive impact on their businesses and personalize customer experiences using the power of AI.
Various Industry and Use Case AI Apps COVID-19 Admissions Tracking and Management The H2O AI platform can help track, predict, and manage COVID-19 related hospital admissions, which was a valuable application of the technology during the pandemic times. The platform provides analytics to help healthcare professionals make informed decisions on how to manage patient care precisely. Credit Scoring, Fraud Mitigation, Predictive Maintenance Solutions The platform offers a broad range of applications, including Credit Scoring, Customer Churn, Anti-Money Laundering, Claims Management, Fraud Mitigation, Predictive Maintenance, Transportation Optimization, Content Personalization, Lead Scoring, Assortment Optimization, Pricing Optimization, Predictive Customer Support.
All of these applications provide insights unprecedented in accuracy because they leverage the platform’s state-of-the-art technology. Easy Solution Access and Automated Deployment All industry and use case AI apps on the H2O AI platform are easily accessible and deployable automatically.
The apps are accessible through the H2O AI AppStore, making it easy to find, select, and implement the application. AI enthusiasts and professionals can benefit from the platform’s fast, scalable, and secure infrastructure, resulting in less time spent coding and more time spent innovating. Leading Organizations Transformed into AI Companies Easy Access to Enterprise Team and Learning Forums Leading organizations like AT&T, USCF health, and Epsilon, have transformed into AI companies with the help of H2O AI.
The platform offers access to Enterprise Team, its experts, and its high-scale elastic environment for AI lifecycle. The company also provides an online forum where users can ask and answer questions or collaborate and learn from each other.
Efficient and Scalable AI Platform With the fastest, most accurate AI platform on the planet, H2O AI enables organizations to scale innovation, increase revenue growth, optimize operations, mitigate risk, and personalize customer experiences. By digitizing the best thinking of the 25 Kaggle Grandmasters who work at H2O AI, the platform helps make data and AI deliver significant value to organizations.
Innovative Solutions Delivery for End Users H2O AI has helped organizations transform their businesses with its innovative AI platform. The platform allows users to scale innovations for their businesses and delivers them to the end-users, optimizing operations, mitigating risks, and personalizing customer experiences in a fast and intuitive way. Integrations H2O AI's App Store offers seamless integration with the entire H2O AI Hybrid Cloud, with specific emphasis on ML Engine and Model management.
The company's integration principles are based on Shared user identity via OIDC, Shared storage API, and Dependency Injection across all APIs/UIs of the H2O AI Hybrid Cloud, enabling users to use a single identity for all the parts of the system. Additionally, these integrations enable Wave apps running within the App Store platform to use the user's identity to make API calls to the individual components on behalf of the end-user. Shared User Identity via OIDC H2O AI's Hybrid Cloud comes with H2O's App Store that provides stringent integration with the other components of the cloud.
An important principle for this integration is Shared user identity, where all APIs/UIs of the H2O AI Hybrid Cloud supports OIDC-based authentication and authorization. Through this, users can have a single identity across all parts of the system. With H2O AI's OIDC support, the Wave apps running within the App Store platform can use the user's identity to make API calls to the individual components on behalf of the end-user.
The company's OIDC clients are appropriately configured so that OIDC access tokens are accepted by the other parties as needed. Shared Storage API The Shared storage API enables Wave apps running within the App Store platform to use the same storage API as the other components of the H2O AI Hybrid Cloud with access authorization. This means that a user can import data via a Wave app, utilize it transparently from a Driverless AI engine and display the results in another app without the need for configuring connectors, storage resources, or shared workspaces.
It's combined with the shared user identity mentioned above where a user can use a single identity across all parts of the system. Dependency Injection Apps running within the App Store platform have the references to the other H2O AI Hybrid Cloud components injected via their environment from a secret.
This allows for loose coupling of apps and H2O AI Hybrid Cloud components. H2O MLOps Integration H2O MLOps enables businesses to manage and monitor their AI/ML deployments from one centralized hub.
The App Store platform relies on H2O MLOps for the management of model deployments. To configure this integration, it is necessary to configure MLOps with an OIDC client in the same user pool/realm as the App Store. The client should have the ai.h2o.storage and ai.h2o.deploy scopes for its tokens.
Additionally, it's essential to configure the Wave app OIDC client in such a way that the ai.h2o.storage and ai.h2o.deploy scopes are obtained for its tokens by default. After this, OIDC-enabled Wave apps can make API calls to MLOps on the end-user's behalf through the MLOps Python library. H2O Enterprise Steam Integration H2O Enterprise Steam is responsible for managing various AI engines, including Driverless AI, and is integrated into the App Store platform.
To configure this integration, it is necessary to configure Steam with an OIDC client in the same user pool/realm as the App Store. The client must have the ai.h2o.storage scope for its tokens. Furthermore, the user roles in the App Store should be mapped to a token claim used by Steam for determining user roles, e.g., roles.
Add the "full access" App Store role to Steam user access groups and the "admin" App Store role to the Steam admin group. Finally, configure the Wave app OIDC client to map the App Store user roles to a token claim used by Steam for determining user roles.
After this, OIDC-enabled Wave apps can make API calls to Enterprise Steam/DAI on behalf of the end-user via the Enterprise Steam/DAI Python client library. FAQ What is H2O Hydrogen Torch?
H2O Hydrogen Torch is an application that allows both novice and expert data scientists to build deep learning models for diverse problem types in computer vision, natural language, and audio without requiring code. This tool generates good models with default hyperparameter values derived from the best models training practices used by top Kaggle grandmasters.
Furthermore, this application simplifies and optimizes training deep learning models by streamlining the training process How does H2O Hydrogen Torch allow me to adjust hyperparameters? The interactive charts in H2O Hydrogen Torch let you understand the impact of selected hyperparameter values on the training process. This way, you can tune default hyperparameter values to obtain the best state-of-the-art deep learning models.
What is the difference between H2O Hydrogen Torch and H2O-3? Both H2O Hydrogen Torch and H2O-3 are intended to democratize machine learning.
At first glance, they might have functional overlaps; however, H2O Hydrogen Torch is an application designed to simplify training deep learning models by streamlining the training process, while H2O-3 focuses on clustering, classification, regression, and deep learning models. Can I try H2O Hydrogen Torch for free? Yes.
To run H2O Hydrogen Torch, no license is needed. It comes with the H2O AI Cloud as a core service.
Therefore, you can use this tool for free. What data types does H2O Hydrogen Torch support? H2O Hydrogen Torch supports image, text, and audio data types.
This tool even supports video data types because it can apply image models to its frames frame-by-frame. However, datasets must be programmed and labeled in a specific way, depending on the problem type they aim to solve. To learn more about the various datasets' formats, see Dataset formats.
Alternatives H2O AI's tool is an excellent choice for those seeking an all-in-one data science platform that is easy to use, scalable, and open source. However, there are other similar products that may suit your specific needs better, depending on the size and complexity of your projects, as well as your level of expertise.
DataRobot DataRobot is an end-to-end machine learning platform that provides users with tools to build, deploy, and manage their models. It is easy to use and requires minimal coding, making it ideal for beginners.
DataRobot also offers advanced features for experts, such as fine-tuning hyperparameters and custom feature engineering. It provides a range of integrations including AWS, Azure, GCP, and more. However, DataRobot is relatively expensive compared to H2O AI's tool.
Kaggle Kaggle is a popular learning platform designed for data science enthusiasts. It provides a range of challenges and competitions that allow users to apply their knowledge and build their skills. Kaggle also provides datasets and kernels for users to practice on.
However, Kaggle does not provide an end-to-end machine learning platform and is not suitable for production use. The platform is best for those looking for an immersive learning experience in data science.
Alteryx Alteryx is a powerful platform designed for data blending and advanced analytics. It provides a drag-and-drop interface that makes it easy to use and suitable for beginners. Alteryx supports a wide range of data sources, including Hadoop and NoSQL databases, and provides advanced analytics features such as predictive modelling, time series analysis, and geospatial analysis.
However, Alteryx is not an open-source platform and is relatively expensive compared to other tools. KNIME KNIME is an open-source data analytics platform that provides users with a range of pre-built ML and AI modules. Users can drag and drop modules to create workflows and connect them to create data pipelines.
KNIME also provides numerous data connectors for a variety of data sources, making it easy to integrate with existing data infrastructures. However, KNIME may be more complex for beginner users as it may require more coding than H2O AI's tool.
RapidMiner RapidMiner provides an end-to-end platform for building, deploying, and managing predictive models. It is designed for data science teams and provides a range of integrations and deployment options.
RapidMiner provides an intuitive visual workflow and supports drag-and-drop functionality. It also provides numerous connectors to various data sources, making it easy to use with existing data sources. However, RapidMiner can be at times complex and requires prior experience in data science.
