The need for intelligent IoT devices requires sensor data collection, analysis, and AI to determine actionable steps. Most applications today send sensor data to the cloud for processing and abstraction. This stresses the system’s bandwidth and power supply, adds latency and reduces security. Implementing AI at the endpoint devices solves these system challenges. A complete AI Endpoint solution should consider data analytics, model building, and hardware implementation to deliver a low power, scalable solution. This session teaches attendees how to build intelligent endpoints quickly and easily from start to finish, optimized for low power at multiple levels and with significant time to market gains.