Design Microcontrollers with DataOps for the Intelligent Edge

Small device data plays a vital role for IoT and AI device intelligence behavior. OEMs building new embedded systems—or upgrading existing applications—are eager to learn how to capture and monetize data for deployment across industrial systems, wearables, medical devices, and other markets. Do you have the right software for understanding and managing data on small device computing environments for the era of IoT and AI?

In this webinar we will introduce you to small device software enablement options that power data-driven applications. You will rapidly learn how to collect, analyze, and store real-time data streams with the right software for optimization and debugging of your embedded microcontroller applications.

With a live demonstration, attendees will learn:

1. Modernize existing MCU data driven applications
2. The most important integration challenges for managing data on MCUs
3. Options for getting ahead with an MCU data strategy
4. Building embedded applications for the IoT and AI era
5. Serious cost reduction elements for managing data-driven MCU applications

Meet the Experts

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