Accelerating Macroeconomic Data Research in the Snowflake AI Data Cloud
In this talk, we demonstrate how macroeconomic research can be run in the Snowflake Cloud, powered by R & RStudio.
Starting with data sourced from the Snowflake marketplace, we will import, transform, visualize, and, finally, model data using the Orbital framework to push tidymodels down to the cloud. We cover full-stack, R-driven macroeconomic research in the cloud, the importance of understanding commercial outcomes in data science projects, and the role of machine learning and AI.
Starting with data sourced from the Snowflake marketplace, we will import, transform, visualize, and, finally, model data using the Orbital framework to push tidymodels down to the cloud. We cover full-stack, R-driven macroeconomic research in the cloud, the importance of understanding commercial outcomes in data science projects, and the role of machine learning and AI.
Access the recording
Featured in this webinar
Jonathan Regenstein - Host
Head of Financial Services AI at Snowflake
Jonathan Regenstein currently serves as the Head of Financial Services AI at Snowflake, a position held since May 2023. In addition, Regenstein contributes as a Research Affiliate at the Georgia Tech Financial Services Innovation Lab and as an Adjunct Professor at Kennesaw State University's School of Data Science and Analytics, focusing on data mining, visualization, time series, and R. Previous roles include VP of Research and Analytics at Sylvan Road Capital, Head of Data and Quantamental Research at Truist Securities, and Director of Financial Services Practice at RStudio (now Posit).
