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Find a selection of articles and case studies published by our team of Windows IoT specialists. 

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SQL Server IoT 2025: Bringing AI and Enhanced Analytics to Edge Data

As embedded and IoT devices continue to produce larger volumes of structured and unstructured data, organisations are feeling increasing pressure to process information directly at the edge. Doing this locally helps keep response time fast, improves resilience when connectivity is unreliable and gives teams better control over day-to-day operations. But as edge architectures become more sophisticated, developers need data management platforms that can handle and analyse data locally and securely support everything from classic transactional workloads to modern, AI-driven insights.

Microsoft SQL Server IoT 2025 is designed with exactly these requirements in mind. It brings advanced AI capabilities, such as vector data types, semantic search, and Copilot-assisted querying, to long-term-supported embedded environments. This enables OEMs to execute low-latency analytics, perform local inference and manage real-time data flows without relying on cloud connectivity. For industrial systems where predictable and deterministic performance is essential, this makes a real difference.

Advanced solution for kiosk devices with ARM architecture

Building on a technology partnership that began in 2009, Custom and Avnet Silica chose to start with a demo board produced by Avnet. While the final product and form factor were already established, Custom had primarily developed applications on the classic x86 architecture. They sought a solution to transition their applications to the ARM architecture. The goal was to facilitate the development of applications that are wide-ranging, easy to integrate, and capable of optimising power consumption and user experience, thereby appealing to a universal audience.

Avnet Silica's Microsoft IoT Team collaborated with Custom to extend their hardware platform to devices requiring low power consumption and proposed using Windows 10 IoT Enterprise on ARM as the operating system. This OS not only ensures low power consumption but also allows classic x86 applications to run seamlessly without any adaptation.

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