H2O.ai, the AI Cloud leader, showcased a unique set of capabilities and use cases that enable rich insights by seamlessly connecting data and machine learning.
“The tight-knit multi-cloud integration of H2O AI engines and AI App Stores drives consumption on Snowflake Data Cloud reducing costs for customers and powers organization-wide transformation needed to adapt quickly.”
Snowflake and H2O.ai bring platforms for data and machine learning together to help more customers around the world innovate with AI through a native integration that allows users to access all of H2O.ai’s advanced machine learning capabilities directly from their Snowflake environment. Through multiple pre-built integrations, users can easily leverage H2O.ai machine learning capabilities for near real-time analysis from within the Snowflake Data Cloud. This shortens learning cycles, significantly reduces processing time, ensures predictions are based on the most recent data and makes those predictions available to any application built on top of Snowflake.
Customers like Infutor leveraged the H2O.ai integration with Snowflake powered by Snowpark and Java User-Defined Functions (UDF) to reduce the need for other platforms and reduce the costs of using AI.
“H2O.ai reduced our AI inference costs on Snowflake by 55X,” said Gary Walter, CEO of Infutor, a Verisk business. “H2O.ai partnership and support has made the integration that much more seamless and easy to leverage.”
H2O.ai is extending their collaboration and commitment to Snowflake users in a variety of roles and across a variety of industries including:
Financial services: H2O models can detect transactional fraud faster than others with extremely low latency-prediction time. Pairing this with Snowflake’s single, integrated platform provides a seamless experience for users to protect their business in a matter of milliseconds. H2O was awarded a competency badge– a classification reserved exclusively for partners who have demonstrated extensive success across the industry.
Manufacturing: H2O allows users to interpret datasets in real time by using Snowflake as a model distribution framework. Connecting data and analytics in the cloud, data science teams can receive feedback directly from factory floors around the world to gain real-time insights into factory operations. Snowflake secure data sharing allows users to access the platform globally.
Healthcare: H2O Gene Mutation AI combines the Snowflake Data Cloud and the H2O AI Cloud to bring intelligent clinical decision support directly to clinicians and provide advanced analytics for pharmacogenomics and pharmacovigilance pipelines. Doctors can visually discover the genetic factors that impact individual risk and explore personalized avenues for therapeutic intervention.
“Our partnership with H2O.ai can help optimize the supply chain across multiple industries including manufacturing, telecom, banking and retail,” said Tarik Dwiek, Head of Technology Alliances at Snowflake. “With H2O AutoML, users have the ability to make, operate, and innovate for their customers and partners to reduce risks, improve customer experiences, drive growth, and improve efficiency.”
Today’s announcement comes after two years of partnership between the organizations, and less than one year after H2O was awarded Elite Partner Certification Technology– a designation for partners with exceptional integration and multiple shared customers between the organizations.
“H2O AI Cloud is democratizing AI on Snowflake’s Data Cloud helping our customers personalize their offerings and bring efficient flows into their business,” said Sri Ambati, CEO and founder, H2O.ai. “The tight-knit multi-cloud integration of H2O AI engines and AI App Stores drives consumption on Snowflake Data Cloud reducing costs for customers and powers organization-wide transformation needed to adapt quickly.”