Machine Learning and the Internet of Things (IoT) are a match made in heaven. However, leveraging ML with IoT has historically meant backhauling all your sensor data to the Cloud. When the cloud is involved, security is a concern and, in the realm of IoT, security is often a "dirty" word. But modern embedded systems, microcontrollers, and single-board computers are becoming more powerful and more sophisticated, and it's becoming increasingly possible to bring Machine Learning closer to sensors and IoT devices. Edge ML enables quicker insights, tighter security, and even true predictive action. In this session, Brandon Satrom explores the state of the art in Edge ML and IoT and talks about practical ways that developers can get started with both.