Build an AI Personalization Engine with Confluent & Databricks

What this post added

This post details the integration of Confluent's data streaming platform with Databricks to build an AI-powered marketing personalization engine. It highlights the use of the Oracle XStream CDC Source Connector for ingesting data, Apache Flink for stream processing and AI model inference, and Confluent Tableflow for seamless synchronization of Kafka data as Delta Lake tables in Databricks. The post also introduces a quickstart guide for building this specific AI application, demonstrating how Confluent facilitates real-time data flow to analytical and AI platforms.