Siemens is collaborating with Snowflake, the AI Data Cloud company, to support manufacturers in connecting operational technology (OT) data from the shop floor with information technology (IT) data, such as supply chain management and financial data. The collaboration aims to improve data integration and support informed decision-making.
By connecting Siemens Industrial Edge and Snowflake’s AI Data Cloud, manufacturers can access plug-and-play Industrial Edge applications to contextualize and transfer OT data into IT systems. This integration empowers customers to build a robust data foundation, which is the prerequisite for gaining deeper insights, improving machine performance, increasing machine availability and optimizing production processes across their facilities.
From edge to cloud: FFT bridges factory data to AI-driven insights with Siemens and Snowflake
FFT, a provider of manufacturing systems, uses the Siemens Industrial Edge ecosystem to help manufacturers transfer production data into the Snowflake AI Data Cloud through its DataBridge app. The solution is already in use within FFT’s own production lines and facilities, showing its ability to support efficient, data-driven operations. The Siemens-Snowflake collaboration supports FFT’s role as an integrator and trusted Snowflake partner for automated and flexible production systems across the mobility and industrial sectors. It also underscores FFT’s status as a Siemens Xcelerator partner.
This joint solution – designed for production managers, data engineers, and IT leaders – tackles common challenges such as data silos, limited transparency, and inefficient analytics. Siemens Industrial Edge enables seamless integration of OT data by connecting to a wide range of sources, including PLCs, sensors, and other manufacturing systems. It also pre-processes data at the edge and runs transformed OT data models, like AI models, in closed-loop with production automation. Snowflake’s platform then delivers actionable insights through AI-powered analytics and agentic AI capabilities. The result is a measurable boost in operational efficiency, with higher machine performance, enhanced product quality, and reduced maintenance needs.
For more information, visit siemens.com.
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