ElectrifAi, a machine learning company recently announced that they are planning to integrate with Snowflake’s Snowpark + Java UDF to help improve business performance. It is a service with native support for multiple programming languages that allow developers, data engineers, and data scientists to write code in the language they prefer. ElectrifAi will simply integrate its library of pre-built machine learning models with Snowflake’s Data Cloud.
ElectrifiAi is a leading provider of artificial intelligence for companies in the US and its portfolio includes more than a thousand pre-built machine learning models. Their ML Models aim for available quality business use cases which include Banking, Financial Services, Insurance, Telecommunications, and many more. ElectrifAi’s solutions permit companies to take advantage of their artificial intelligence and machine learning technology to boost their time to market and eliminate cost and risk to improve their projects.
Luming Wang, CTO of ElectrifAi, shared, “We are elated to integrate with Snowflake’s Snowpark capabilities. 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.”
Through Snowpark and Java/Scala UDFs, Snowflake and ElectrifAi can give access to data engineers, data scientists, and developers, who use the language of their choice and leverage Snowflake’s industry-leading platform capabilities and the benefits of Snowflake’s Data Cloud. This integration will benefit customers where they can run functions they have in Java Virtual Machine along with Java UDFs from Snowflake’s single platform.
The Director of Technology Alliances, at Snowflake, Tarik Dwiek, said, “Data is our clients’ most important asset, and their ability to mine that data to leverage ElectrifAi’s machine learning models can help improve their business performance. ElectrifAi’s integration with Snowpark can help make that more possible.”