Cindy Jiang

Welcome to the next generation of marketing with the world’s first Agentic CDP – Databricks CustomerLake. This session introduces how marketers – and the data teams that support them – can run agentic campaign planning, insights and execution on Databricks and where AI agents use lakehouse data and models to decide what content to send, when to send it, and to which audience. Join us to see how agentic workflows close the loop between customer data, marketing decisions, and execution. In this session, you’ll learn: - How to build audiences for marketing campaigns using data in Lakehouse - How to connect to marketing execution channels via reverse ETL - How to map personalization variables and trigger one-off and micro-batch sends - How performance signals like opens, clicks, and conversions can flow back into lakehouse

In this session, we’ll explore the data intelligence capabilities within Databricks, focusing on Predictive Optimization. This feature enhances the performance of Unity Catalog managed tables by automatically optimizing data layouts, resulting in improved query performance and reduced storage costs. You’ll learn how Predictive Optimization works and see real-world examples of customers using it to fully automate data layout management. We’ll also share a preview of the exciting features and enhancements coming down the road.

In this presentation, we’ll dive into the power of Liquid Clustering—an innovative, out-of-the-box solution that automatically tunes your data layout to scale effortlessly with your datasets. You’ll get a deep look at how Liquid Clustering works, along with real-world examples of customers leveraging it to unlock blazing-fast query performance on petabyte-scale datasets. We’ll also give you an exciting sneak peek into the roadmap ahead, with upcoming features and enhancements to come.