Explore AI-powered streaming analytics for real-time customer experience in this 39-minute conference talk. Learn how to sense, reason, and act on customer data using Spark Structured Streaming. Discover techniques for capturing event data, combining it with existing information for context, and responding appropriately in real-time. Gain insights into an end-to-end solution that leverages AI and metadata to automate data management processes and guide user behavior. Understand how to unify fast-lane data streaming and batch processing to deliver in-the-moment actions that enhance customer interactions. Examine case studies from media, entertainment, and financial services industries, and learn about event-centric data processing methodologies. Delve into the technical aspects of Spark Structured Streaming, including its advantages over Dstream processing and state store maintenance.