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H2O.Ai Expands Snowflake Partnership for AI Transformations

H2O.ai
H2O.ai showcased a unique set of capabilities and use cases that enable rich insights by seamlessly connecting data and machine learning.

Snowflake and H2O.ai bring together platforms for data and machine learning to help more clients develop with AI through a native connection that gives users access to H2O.ai's powerful machine learning capabilities straight from their Snowflake environment. Through several pre-built connections, customers may simply access the machine learning capabilities of H2O.ai from within the Snowflake Data Cloud for near real-time analysis. This shortens learning cycles, decreases processing time dramatically, assures that predictions are based on the most recent data, and makes these predictions accessible to any application built on top of Snowflake.

Customers such as Infutor utilized the H2O.ai combination with Snowflake powered by Snowpark and Java User-Defined Functions (UDF) to avoid the need for additional platforms and AI-related expenses.

"H2O.ai reduced our AI inference costs on Snowflake by 55X. H2O.ai partnership and support has made the integration that much more seamless and easy to leverage."

Gary Walter, CEO of Infutor, a Verisk business

H2O.ai is extending its partnership and dedication to Snowflake users in a number of vocations and sectors, including:

  • Financial services
  • Manufacturing
  • Healthcare

Tarik Dwiek, Head of Technology Alliances at Snowflake, said, “Our partnership with H2O.ai can help optimize the supply chain across multiple industries including manufacturing, telecom, banking and retail. 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.”

Sri Ambati, CEO and founder, H2O.ai, said, “H2O AI Cloud is democratizing AI on Snowflake’s Data Cloud helping our customers personalize their offerings and bring efficient flows into their business. 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.”

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