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.
Make Devices Think: Embedded Data Management for Real-World of IoT and AI
Human thinking works like a tight data system: ingest, filter, cache, store, query, and learn. ITTIA DB brings the same capture-organize-retrieve-refine loop to embedded edge devices so they make…
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Flash-Safe, Real-Time, Secure: How to Manage Device Data for IoT and AI
Flash-Safe. Real-Time. Secure. Manage device data for IoT and AI. Because selecting the wrong data solution for MCU/MPU/NPU devices isn’t a hiccup, it’s a hazard that triggers erratic performance,…
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Unlocking Next-Gen Edge Data Management: ITTIA DB Platform meets i.MX 9
ITTIA DB platform and i.MX 9 family align to deliver real-world benefits for OEMs, system integrators and embedded developers.
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When Devices Go on a Data Diet; The Struggle Is Real at the Embedded AI
Edge AI works only on disciplined data, deterministic ingestion, time-series organization, on-device preprocessing, and selective sync, delivered by the ITTIA DB Platform. This yields reliable, low-…
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