Have you ever received a notification that your flight has been canceled? Your first thought is unprintable, but after that you have to figure out what your options are and what to do next. This most likely involves speaking to a stressed out customer representative who is trying to deal with many other (angry) people who are in the same situation? Surely we can do better, and in this webinar we’re going to explore how we could build more useful notifications using Redpanda, Apache Pinot, and a sprinkling of a Large Language Model. This webinar will explore the following Building a real-time data stream of flight statuses and customer check ins with Redpanda Ingesting those streams into Apache Pinot for fast ad hoc querying. Constructing personalized notifications for customers using a Large Language Model that’s been contextualized with flight and customer data, the airline’s delay policy, and available alternatives.