H2O.ai has introduced an end-to-end AI platform called H2O AI Hybrid Cloud that enables organizations to build rapidly, share, and use AI models and applications.
H2O AI Hybrid Cloud 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.
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.
The H2O AI Hybrid Cloud integrates with the recently released H2O Wave and is built for organizations that want to put AI into their business users’ hands. An open-source lightweight Python development framework, this platform makes it easy for developers, data scientists, and machine learning engineers to make applications that leverage AI models.
To meet hybrid and multi-cloud requirements for enterprises, Red Hat OpenShift will certify the platform early this year.