This webinar explores how to build Real-time Anomaly Detection (RAG) enabled GenAI with Confluent, Flink, and MongoDB. It discusses the importance of online machine learning for real-time fault detection in IoT sensors and the benefits of leveraging Apache Kafka to drive cutting-edge machine learning solutions. The presentation showcases SymetryML, a streaming machine learning software that extracts statistical information from new data tuples and builds predictive models or anomaly detection models. With Confluent and Kafka, users can create predictive models that continuously learn on the fly, leading to more efficient and effective solutions. The webinar also highlights the potential of real-time machine learning in various industries, including telecoms and finance.