Issue link: https://resources.mouser.com/i/1499313
4 BRINGING INTELLIGENCE TO THE EDGE A rtificial intelligence (AI) is transforming the ever-expanding Internet of Things (IoT) quickly as manufacturers rush to embed the technology into their devices, from smart watches and home monitors to self-driving cars and manufacturing robots. Using AI in IoT endpoints enables powerful devices that can make decisions without the need for outside assistance, but this comes with certain trade-offs. To determine when AI should be introduced to IoT endpoints, design engineers should carefully assess the return on investment (ROI), evaluate the feasibility of the project within existing constraints, and consider data requirements and what data engineering may be needed. Embracing the right strategy when considering the costs and benefits of introducing AI to an IoT device can help to ensure the success of the project and maximize the impact of smart devices in our increasingly digitized world. AI in IoT Endpoints BECKS SIMPSON | FOR MOUSER ELECTRONICS With the introduction of AI, IoT devices can become more intelligent and less reliant on external systems— but not without trade-offs in performance and cost. Understanding how to make that decision is key.