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H2O.ai Hybrid Cloud


H2O.ai Hybrid Cloud


Product Overview.

The H2O AI Hybrid Cloud Platform

The product helps organizations have access to world-class AI models with advanced automatic feature engineering for structured data, text, image, and video.

H2O AI Hybrid Cloud offers an end-to-end platform that democratizes artificial intelligence, enabling every employee, customer, and citizen with sophisticated AI technology and easy-to-use AI applications.

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About the Company.

H2O.ai is a software company based in Silicon Valley that created and reimagined what is possible. It is a company of creators that brought to market new platforms and technologies to drive the AI movement. They are the makers of, H2O, the leading open-source data science and machine learning platform trusted by over 18,000 organizations and hundreds of thousands of data scientists around the world.

H2O’s approach is to be open, transparent, and push the bleeding edge. Their philosophy is to create a culture of makers: community, customers, partners, entrepreneurs and our own “makers gonna make”. Their vision is to democratize AI for everyone. Not just a select few. The H2O Hybrid Cloud uses over 200 data connectors to clean any imbalanced data and transforms data into automatic data visualization.

Other Products.

Sparkling Water: Gives access to H2O algorithms developed from the ground up for distributed computing and for both supervised and unsupervised approaches. Drives computation from Scala, R, or Python and use the H2O Flow UI, providing an ideal machine learning platform for application developers. Easy to deploy POJOs and MOJOs to deploy models for fast and accurate scoring in any environment, including very large models.

H2O Driverless AI: Allows automatic feature engineering, brings your own models to feature, used for image and natural language processing.

H2O Wave: Create interactive and visual AI applications with just Python. HTML, CSS, and Javascript skills that aren’t required.

Enterprise Puddle: The H2O.ai open source and the Driverless AI platforms allow data scientists to deploy models in any cloud. Deploy the machine learning model as a RESTful or serverless endpoint for real-time scoring directly in the cloud. Model building on H2O comes with limitless flexibility for the data teams. It is capable of end-to-end data science in your cloud – everything from feature engineering, machine learning, interpretability to deployment. Leverage the high availability, scalable storage, compute, and memory of public clouds to support your production workloads. Use H2O with GPUs and CPUs to train and score models in your cloud.

Product Screenshots.

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