H2O.ai announces H2O AI Hybrid Cloud, an end-to-end AI platform that enables organizations to build rapidly, share, and use AI models and applications.
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An innovative new platform, H2O AI Hybrid Cloud, empowers anyone to innovate and use AI to make better forecasts, streamline operations, reduce risk, and personalize customer experiences. It contains capabilities and automation across the entire data science lifecycle, including connecting to and preparing data, building and explaining models, deploying and operating models, and building and sharing AI applications.
H2O AI Hybrid Cloud is deployed on Kubernetes, enabling customers to operate on any cloud, such as Microsoft Azure or on-premises infrastructure.
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The platform features over 200 data connectors, automatic data visualization, automatic feature engineering, AutoML for tabular, time-series, text, image, and video data, and machine learning operations technology to help organizations govern and continuously improve models. H2O AI Hybrid Cloud is integrated with Snowflake, enabling data engineers to make AI models and score records using their preferred language — SQL.
“It used to take large teams of expert data scientists months, or longer, to develop a single model, but today, with Snowflake’s extensibility capabilities and H2O’s AutoML technology, data engineers can rapidly build and deploy their models and score records, all from within Snowflake using SQL.” – Snowflake Director of Product Management, Torsten Grabs
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