The document discusses 5 trends in IoT and edge computing to track in 2019: 1) The growth of multi-locational hybrid data architectures to store data locally at the edge as well as in the cloud; 2) Increased convergence of facial analysis and machine learning, such as using cameras to detect driver fatigue; 3) The emergence of data marketplaces as enterprises purchase IoT data streams; 4) The convergence of IoT and blockchain to provide data provenance and immutability; 5) The rise of autonomous edge devices with local storage, ML models, and the ability to take actions without cloud latency.