This document discusses using Cadence workflows, Apache Kafka, and TensorFlow to orchestrate drone deliveries and perform machine learning on streaming delivery data.
Part 1 describes how Cadence workflows can be used to orchestrate drone delivery tasks and coordinate with order workflows, using Kafka for asynchronous communication. Part 2 discusses using Kafka streams to aggregate delivery data and send it to TensorFlow for incremental machine learning to predict busy shops in real-time. The document provides examples of how these technologies can be integrated and addresses challenges of streaming machine learning.