Machine learning can help product teams deliver differentiated experiences to their customers. This session will demonstrate how to integrate Machine Learning into your applications. We’ll walk through a well-known data science dataset to predict loan risk, make loan repricing recommendations, and forecast the revenue impact of repricing. You’ll also learn how an H2O Driverless AI Machine Learning model can be deployed as a Java UDF and used with the Snowpark API and SQL—and bring model predictions into external-facing applications. With H2O models deployed in Snowflake, developers get increased performance and can interact with models using Snowflake native tools.
Register to create your custom agenda and attend our session : https://www.snowflake.com/build/agenda/?fu=h2o