Convergence of predictive and generative AI

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November 13, 2022

H2O.ai

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Convergence of predictive and generative AI

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Predictive AI Generative AI AI Cloud AI-powered Search Model Deployment Data Management

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H2O.ai is a platform which focuses on the convergence of predictive and generative AI. It offers an AI-powered search assistant, enabling users to search their documents, websites and other resources for specific information.

The GenAI platform is versatile and can work in air-gapped, on-premises or cloud deployments. H2O provides different offerings like h2oGPTe and H2O LLM Studio, used in data and document management that include features like summarization, cost control and customization options.

It offers open-source tools like H2O-3 for distributed machine learning. H2O AI Cloud, a comprehensive platform, offers various AI tools for applications such as model deployment, data extraction, automated machine learning and more.

The platform is additionally equipped with an AI Feature Store to improve data intelligence. It caters to different industries, including financial services, government, health, insurance, manufacturing, marketing, retail, and telecommunications providing tailored AI solutions for each sector.

They demonstrate cases of AI application across these sectors, sharing their successes in areas such as healthcare workflow automation and predictive maintenance in manufacturing.

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Initial release

February 3, 2016

Initial release of H2O.ai.

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H2O.ai was manually vetted by our editorial team and was first featured on November 13th 2022.

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Pros and Cons

Pros

Automated machine learning

Open-source distributed machine learning

Data extraction with intelligence

No-code deep learning platform

Performance monitoring and rapid adaptation

Facilitates search across documents and websites

Operable in air-gapped, on-premises, cloud deployments

Contains data and document management features

Options for customizing models

Involves data intelligence improvements

Demonstrates practical cases

Flexible product offerings

Highly versatile platform

Economic model for data and document management

Cost control in data management

Covered industries: finance, government, healthcare, etc.

MLOps for performance monitoring

Tailored solution for each industry

Healthcare workflow automation

Predictive maintenance in manufacturing

Open-source tools support

Facilitates data infusion for intelligence

Automated machine learning

Model Hosting, Monitoring and Deployment

Distributed machine learning with H2O-3

Offers data summarization

Offers cost control options

No-code deep learning with Hydrogen Torch

View 23 more pros

Cons

No offline functionality

Not optimized for mobile

Limited customization options

Dependent on cloud deployment

Potential high costs for high usage

Complex UI

Works best with own models

Limited data validation

No data anonymization feature

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Q&A

What is H2O AI?

H2O AI is an AI Cloud Platform that facilitates the creation, deployment, and monitoring of Artificial Intelligence models and applications. It provides various tools such as H2O Driverless AI, H2O Document AI, H2O Hydrogen Torch, H2O Wave, H2O AI Feature Store, and H2O MLOps encompassing both predictive and generative AI capabilities. H2O AI offers solutions and applications to various sectors including financial services, healthcare, government, retail, and manufacturing.

What are the key features of H2O Driverless AI?

The key features of H2O Driverless AI are its capabilities to democratize AI with automated machine learning. It accelerates the process of data science by automating some of the most challenging aspects of data science such as feature engineering, model validation, model tuning, model selection, and model deployment. This helps organizations to implement AI rapidly and reliably

How does H2O Document AI work?

H2O Document AI works as a processing tool that leverages intelligence to extract relevant data from documents. It enables users to source specific information from a vast array of textual content and helps in better document and data management, making it a key tool for intelligent data extraction.

Can you explain the H2O Hydrogen Torch?

H2O Hydrogen Torch is a no-code deep learning platform that enables users to create and implement deep learning models without the need for coding. This empowers users with little to no expertise in programming to access and utilize deep learning technology, further democratizing AI technology.

What is the function of the H2O AI Feature Store?

The H2O AI Feature Store is designed to infuse data with intelligence. It is an organized and curated repository of historical and live features that can be used to enhance machine learning models. This streamlined process enables more efficient and effective model development.

What does H2O MLOps do?

H2O MLOps serves to streamline the process of performance monitoring and rapid adaptation to changing conditions. It facilitates the effective management of machine learning operations, including model hosting, monitoring, and deployment.

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What applications are available on the H2O AI AppStore?

The H2O AI AppStore provides a range of industry and use case AI apps. These applications cater to a variety of sectors including financial services, government, healthcare, insurance, manufacturing, marketing, retail, and telecommunications. It effectively serves as the gateway to access AI solutions for each specific industry or use case.

Who can use H2O AI's services?

H2O AI's services are accessible to all, from beginners to professionals in the field. Its AI solutions are designed for various industries such as financial services, government, healthcare, insurance, manufacturing, marketing, retail, and telecommunications. Thus, professionals from these sectors can benefit immensely from these services.

How does H2O AI handle data extraction and model deployment?

H2O AI deals with data extraction through the H2O Document AI, which is a tool designed for extracting data intelligently from various resources. For model deployment, H2O Driverless AI offers an automated machine learning platform that streamlines the process. In addition, the platform also provides the H2O MLOps tool which aids in model hosting, monitoring, and deployment.

Can H2O AI function in various environments like air-gapped, on-premises, or cloud deployments?

Yes, H2O AI has been designed to operate efficiently in diverse environments including air-gapped, on-premises, or cloud deployments. This versatility ensures that users can leverage the full potential of the platform in their specific operational environment.

Can H2O AI cater to different industries like healthcare and manufacturing?

Yes, H2O AI offers tailored AI solutions accommodating different industries such as healthcare and manufacturing. For the healthcare industry, they offer solutions for clinical workflow automation and predicting ICU transfers. For the manufacturing industry, they provide predictive maintenance to increase efficiency and reduce downtime.

What is the H2O LLM Studio?

The H2O LLM Studio is part of H2O's enterprise solution and it facilitates the connection with any LLM/embedding models. It includes several features like summarization, cost controls, and customization options. Moreover, it is scalable with Kubernetes, which makes it advantageous for managing large-scale distributed machine learning applications.

What makes H2O AI's predictive AI and generative AI different?

H2O AI's predictive and generative AI solutions focus on convergence, offering both best in world predictive analytics as well as language generation capabilities. This synergy allows businesses to not just predict future trends and outcomes but also generate human-like text that can be used for various purposes such as drafting emails, writing articles, answering queries, etc.

What specific tailored AI solutions does H2O AI provide for government functions?

For government functions, H2O AI provides responsible AI applications which can be used to ensure effective governance. They showcase various use cases in the public sector where the GenAI's potential has been utilized. With H2O AI's offerings, government bodies can leverage AI technology to boost efficiency and offer better services to citizens.

What are the features of the no-code deep learning platform H2O Hydrogen Torch?

The H2O Hydrogen Torch is a user-friendly deep learning framework that requires no coding. Its main features include enabling the creation and application of deep learning models without the need of programming knowledge. This makes AI technology more accessible, fostering faster and efficient adoption of AI applications.

What is the purpose of H2O's AI-powered search assistant?

The AI-powered search assistant provided by H2O AI helps users to search their documents, websites, and other resources for specific information. By leveraging AI, the assistant can understand the user's query and return the most relevant answers, boosting efficiency and productivity when managing vast amounts of data.

How does H2O's GenAI platform operate in different environments?

H2O's GenAI platform offers flexible deployment options. It can function in varying environments such as air-gapped, on-premises or cloud deployments. This enables businesses to use the platform in whichever environment that suits their operational needs and requirements.

What makes H2O AI's tools, like H2O-3, unique from other AI platforms?

Open-source tools like H2O-3 set H2O AI apart from other AI platforms. H2O-3 is a fully open source, distributed in-memory machine learning platform with linear scalability. It allows organizations to build machine learning models on large data sets and to embed those models into real-time applications.

What advantages does the H2O AI Cloud provide to users?

The H2O AI Cloud provides a comprehensive platform with a suite of AI tools for various applications. These include model deployment, data extraction, automated machine learning, no-code deep learning, and AI-powered data labeling. Also, it is equipped with an AI Feature Store to infuse data with intelligence, and H2O MLOps to streamline performance monitoring and adapt rapidly to changing conditions.

How can users apply H2O AI's tools to their own industries or sectors?

H2O AI's tools can be applied across different industries by delivering custom AI solutions in accordance with each industry's unique needs. For the healthcare industry, it provides tools for clinical workflow automation and predicting possible ICU transfers. For the manufacturing sector, it provides predictive maintenance tools to boost equipment longevity and prevent unexpected equipment breakdown. Furthermore, it has solutions for other sectors like financial services, government, and retail as well.

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