Collect, Analyze, Organize and Store on Small Endpoint Devices
Device data plays a vital role for the evolution of embedded systems relating to IoT and AI. OEMs building new embedded systems with MCU devices—or upgrading existing applications—are eager to learn which MCU device meets the expectations for their specific data management requirements. Are you building new applications with MCU devices?
In this webinar we will share our findings and introduce you to the limitations and capabilities of the most important MCU devices that power data-driven applications. You will rapidly learn which category of MCU device may be the best for your embedded system to collect, analyze, and store real-time data streams.
With a live demonstration, attendees will learn:
- STM32 and i.MX RT characteristics for real-time data management
- The most important data challenges for selection of an MCU device
- Different STM32 and i.MX RT options for getting ahead with MCU data campaigns
- Building embedded applications with Arm Cortex-M devices for the IoT and AI era
- Serious cost reduction elements for IoT edge device design
