Edge-AI Data on Microcontroller (MCU) Webinar
Do you need to manage, analyze, and store data directly on microcontrollers (MCUs), and prep that data for on-device AI models? If the answer is yes, then this webinar is for you. We’ll move fast, show live demo, and give you a repeatable blueprint for Edge AI data computing on MCU hardware.
What you’ll rapidly learn:
- Real-time data pipelines on MCUs: deterministic capture, validation, and time-series organization with minimal latency
- On-device analytics & AI prep: cleaning, normalization, feature extraction for AutoML models
- Efficient storage on tight budgets: retention/rollups, compression basics, and power-fail safety
- Selective sync (edge↔gateway): send only summaries and “hard cases” to save bandwidth and power
- Performance & reliability testing: measure latency, jitter, flash usage, and recovery after power-pulls
