Don't Call it a Comeback: SQL in Cloud AI and ML

Track: Artificial Intelligence

Abstract

While Python and specialized ML libraries dominate the AI/ML landscape, SQL's simplicity and power remain invaluable for developers. This session will demonstrate how SQL seamlessly integrates with Google Cloud Platform's AI/ML tools, enabling developers to leverage their existing SQL skills for efficient data handling and model building. We'll cover techniques for data exploration, feature engineering, and model training directly within BigQuery, and showcase how to deploy and manage models at scale using Vertex AI's SQL interface. Through hands-on examples and code demonstrations, you'll gain practical insights into harnessing SQL's capabilities to streamline your Cloud AI/ML development process.

Amy Russ

Amy Russ is currently the Vice President of Customer Analytics at Synchrony. She has over 11 years of experience as a data professional, having had the pleasure of seeing data move from being cool in Microsoft Access to the current 4th Industrial Revolution. Additionally, she also excels at being able to explain complex topics to individuals at all levels. Outside of data, Amy enjoys using her hands to create. She is currently exploring pottery (both hand-building and using the wheel) and baking (similar to low-code data analytics/science, minimal ingredient baking recipes are one of her current obsessions).