A range of views, including those of executives, technologists, and industry enthusiasts, contribute to the ITTIA Blogs. With our network of embedded experts, partners, and associates, we aim to promote dialogue and the exchange of ideas about the rapidly changing field of intelligent data management for AI and IoT on embedded systems. Therefore, our blogs contain important updates and insights from developers, scientists and experts who gained our respect in the embedded industry.
Why Reliability Is Non-Negotiable at the Edge
On MCUs, that data must be deterministic, consistent, and always recoverable. At the edge, corrupted data causes AI fails and lost data, after which insight is lost and decisions are unreliable.…
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Edge AI-Powered Meteorological STM32 Devices with ITTIA DB Lite
From raw weather data to real-time intelligence, this is the power of combining ITTIA DB Lite with STM32 devices for meteorological systems. By enabling deterministic data ingestion, structured time-…
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Data-Driven Device Training at the Edge
Training devices at the edge starts with one thing: clean, structured data. Without high-quality data pipelines, even the best AI models fail to deliver reliable results. By capturing, cleaning, and…
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Supercharging Intelligence with CMSIS-NN
By combining ITTIA DB Lite for deterministic data management, TinyML for on-device intelligence, CMSIS for portability, and CMSIS-NN for optimized performance, developers can create full Edge AI…
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