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.
Beyond AI Inference: Why Data Management Is Becoming the Foundation of Edge AI
Can MCUs Manage the Data Edge AI Needs to Be Useful, Reliable, and Explainable? Running AI on an MCU is only the beginning. Production-ready Edge AI depends on how well the device can capture,…
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Edge AI Is Ready. As an Embedded Developer, Are you Ready too?
Edge AI is ready. As an embedded developer, are you ready too? Running an AI model on an embedded system is only part of the challenge. Production-ready Edge AI also requires reliable data ingestion…
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Why Data Management on MCUs Is Different
MCUs operate with limited memory, fewer cores, constrained flash, and strict real-time requirements. That means data ingestion, storage, processing, feature engineering, and AI inference must all…
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Beyond the IDE: Powering Edge AI with ITTIA DB Lite
IAR Workbench + STM32Cube: Whether developers build with IAR Embedded Workbench or STM32Cube, intelligent embedded applications need more than an IDE, compiler, and AI model; they need a reliable…
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