ElectrifAi Integrates with Snowflake Snowpark/Java UDFs to Offer Pre-Built ML to Snowflake Users
We are pleased to announce we have partnered with leading cloud-data platform provider Snowflake to make it easier than ever for organizations to accelerate artificial intelligence (Ai) projects and achieve high-value strategic outcomes faster.
The collaboration makes ElectrifAi’s pre-built machine learning (ML) models available to Snowflake Data Cloud users through Snowpark, a feature Snowflake announced last September.
Snowpark/Java UDF users can integrate their organization’s data and ElectrifAi’s pre-built ML models using Snowflake’s Java user-defined functions (UDFs). The integration makes it virtually seamless for Ai project teams to apply Ai to harness the power of their data.
They can run their data through pre-built ML models that predict actions that can positively affect key performance indicators (KPIs), such as churn mitigation, demand forecasting, supply optimization, and personalization. Additionally, Snowpark/Java UDFs include the governance, security, and privacy features Snowflake users already heavily rely on for testing models that will be deployed at scale.
Here’s how it works:
The average time to build a machine learning model is six to nine months. Even with that investment of time and resources, companies with Ai experience moved just half of their projects from proof of concept (POC) to production in 20201. Those who failed cited lack of skills, difficulty hiring, and data quality issues.
ElectrifAi’s pre-built ML models provide an alternative that can cut development time by at least half, making it possible for teams to move from proof of concept to production in roughly three months.
Since 2004, ElectrifAi has worked with some of the world’s largest brands and Fortune 500 companies to apply Ai to solve challenging business problems. From that work, we have developed a library of pre-built machine learning models to address high-value use cases across verticals. These are applied Ai solutions, which means they have been trained on real-world data and put into production.
Contact us today to learn more about how ElectrifAi’s pre-built ML models can help you maximize your time to market, reduce your costs and risks and accelerate the success of your projects.