Organizations are looking to accelerate the adoption of machine learning (ML) by quickly and easily building and deploying models into production. The ML pipeline however can be complex and fraught with many barriers for businesses to take advantage of predictive capabilities. A new approach is needed to bring ML technology to the environment where users are most comfortable working with their data. That’s why Snowflake and H2O.ai provide users with a seamless experience for building and deploying ML models that can be used for scoring data and predictive insights. This webinar will cover how the Snowflake cloud data platform can be extended with H2O Driverless AI from within the customer’s Snowflake account. By using SQL commands in Snowflake, users can build and deploy models as a REST service to be used for scoring data and making predictions. What you will learn: - How Snowflake external functions are used with Driverless AI - How you can build and deploy models from within Snowflake - How to make predictions on data from your Snowflake account - How to integrate predictions in your business applications Presenters: - Yves Laurent, Dir. Partnerships and Alliances, H2O.ai - Eric Gudgion, Sr. Solutions Architect, H2O.ai - Chris Pouliot, VP Data Science & Analytics, Snowflake - Isaac Kunen, Sr. Product Manager, Snowflake