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  Paul Brebner

In the 1st part of this talk, we'll build a real-time Drone Delivery demonstration application using a combination of two open-source technologies: Uber’s Cadence (for stateful, scheduled, long-running workflows), and Apache Kafka (for fast streaming). With up to 2,000 (simulated) drones and deliveries in progress at once this application generates a vast flow of spatio-temporal data. In the 2nd part of the talk, we'll use this platform to explore Machine Learning (ML) over streaming and drifting Kafka data with TensorFlow to try and predict which shops will be busy in advance.