The IoT+AI combo is changing everything from smart homes and wearables to industrial automation and connected cars. But while everyone talks about big data and machine learning, the real game-changers often get overlooked: data management at the edge software, real-time operating systems, and…
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The buzz around IoT and AI is loud—and for good reason. Smart devices are everywhere, and AI is the brain behind the scenes. But none of it works without three unglamorous but critical pieces: data management, RTOS (Real-Time Operating Systems), and microcontrollers. These are the plumbing, the…
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Data management for microcontrollers such as STM32 devices play a crucial role in modern automation by enabling real-time data collection, processing, and control, which is essential for optimizing processes, improving efficiency, and ensuring safety at the place of origin. For the edge…
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The future of embedded devices will be built on software and data management fundamentals. Embedded edge data management enables device applications to process and manage data locally, near the source, within embedded systems or edge devices. This approach offers benefits like reduced latency,…
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