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.
Mark Austin, Vice President of Data Science, AT&T, said: “AI is central to AT&T’s mission to deliver wireless, broadband, and software-based video to our customers. We’ve deployed hundreds of AI models to support those products and services, such as to protect our customers by scoring transactions in real-time for the likelihood of fraud. Collaborating with H2O around their open source tools including H2O Wave and H2O AI Hybrid Cloud will let us expand those capabilities across AT&T.”
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.
Torsten Grabs, Director of Product Management, Snowflake said: “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 ”
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 sophisticated applications that leverage AI models.
Vijay Sarashetti, Cofounder and CTO, Arogya, said: “The future is no-touch, seamless, frictionless automation, supported by deep insights. Powered by the AI Hybrid Cloud, Arogya Mitra Sejati is bringing to life Arogya, a deep insights based automated supply chain platform optimized for healthcare.”
The AI Hybrid Cloud also provides an AppStore, enabling organizations to publish and share the AI applications they build with H2O Wave. The AppStore deploys with a set of pre-built applications, such as Automatic Insights, Recommendations, and LIBOR, which organizations can use to put AI into production even faster.
Sri Ambati, CEO, H2O.ai, said: “AI is transforming the world. Organizations are adopting AI at increasing rates and need holistic, open and automated platforms to make world-class AI models and applications rapidly. H2O AI Hybrid Cloud enables organizations to make AI for virtually any use case, streamline machine learning operations and democratize AI across the organization.”
To meet hybrid and multi-cloud requirements for enterprises, Red Hat OpenShift will certify the platform early this year.
Joe Fernandes, Vice President and General Manager, Cloud Platforms, Red Hat, concludes: “Red Hat OpenShift, the industry’s leading enterprise-grade, fully-supported Kubernetes platform, is optimized for H2O Driverless AI and H2O Open Source, making it easier for customers to deploy and manage H2O.ai products across the hybrid cloud. We are working closely with H2O.ai as they seek to certify H2O AI Hybrid Cloud on OpenShift in order to continue building on this momentum.”