ElectrifAi’s Integration with Snowflake to Help Improve Business Performance

 

ElectrifAi is excited to integrate with Snowflake’s Snowpark + Java UDF, upon its final release, a service that includes native support for multiple programming languages that allows developers, data engineers and data scientists to write code in the languages of their choice. This move will make it easier for ElectrifAi to integrate its library of pre-built machine learning models with Snowflake’s Data Cloud.

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ElectrifAi, which was founded 17 years ago, is the leading provider of practical artificial intelligence for enterprises in the US, with more than 1,000 pre-built machine learning models in its portfolio. ElectrifAi’s vast library of machine learning models targets high-value business use cases that are available to companies of all sectors and sizes, including Banking, Financial Services, Insurance, Telecommunications and Retail. ElectrifAi’s business-ready solutions allow such companies to quickly leverage AI and ML technology to maximize their time to market, reduce their costs and risks and accelerate the success of their projects.

Through Snowpark and Java/Scala UDFs, Snowflake and ElectrifAi can enable data engineers, data scientists and developers, who prefer to use various languages, to take advantage of Snowflake’s industry leading platform capabilities and the benefits of Snowflake’s Data Cloud.

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“We are elated to integrate with Snowflake’s Snowpark capabilities,” says Luming Wang, CTO of ElectrifAi. “This move will make it easier to integrate our industry-leading pre-built machine learning models with Snowflake’s Data Cloud. It’s a data science match made in heaven.”

“Data is our clients’ most important asset, and their ability to mine that data in order to leverage ElectrifAi’s machine learning models can help improve their business performance,” Snowflake, Director of Technology Alliances, Tarik Dwiek said. “ElectrifAi’s integration with Snowpark can help make that more possible.”