IT/OT/Integration IT/OT Convergence via Edge and Cloud for the Industry

Source: Press release | Translated by AI 2 min Reading Time

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Siemens and Snowflake collaborate to advance data management, AI, and generative AI capabilities. Shopfloor data is integrated with IT data in the Snowflake AI Data Cloud via Siemens Industrial Edge.

By connecting Siemens Industrial Edge with the Snowflake AI Data Cloud, manufacturers gain access to plug-and-play industrial edge applications, which allow OT data to be contextualized and transferred to IT systems.(Image: Siemens)
By connecting Siemens Industrial Edge with the Snowflake AI Data Cloud, manufacturers gain access to plug-and-play industrial edge applications, which allow OT data to be contextualized and transferred to IT systems.
(Image: Siemens)

Siemens is collaborating with K-Data cloud company Snowflake to offer manufacturers new opportunities to enhance operational efficiency, scalability, and AI-driven insights. The partnership enables joint customers worldwide to link their operational technology (OT) data from the shop floor with information from information technology (IT), such as supply chain management or financial data.

By connecting Siemens Industrial Edge with the Snowflake AI Data Cloud, manufacturers gain access to plug-and-play Industrial Edge applications that allow OT data to be contextualized and transferred into IT systems. This integration enables customers to build a robust data foundation—essential for deeper insights, improved machine performance, higher availability, and the optimization of production processes in their facilities.

From Edge to Cloud with Siemens and Snowflake

"This collaboration combines the best of both worlds," says Rainer Brehm, CEO of Factory Automation at Siemens. "Siemens has extensive expertise in bringing together the OT and IT worlds directly on the shop floor, while Snowflake is a leader in managing and analyzing large amounts of OT and IT data. Together, we enable our customers to bridge the gap between IT and OT and scale their digital transformation across machines, production lines, and entire plants."

"Together with Siemens, we enable users to unleash the full potential of their data through Snowflake's user-friendly, connected, and trusted platform," says Christian Kleinerman, EVP of Product at Snowflake. "The ability to apply AI to both IT and OT data is not just a step forward—it opens up an entirely new reality with significant quality improvements, performance optimization, and new forms of process automation through AI agents."

FFT Connects Manufacturing Data With AI-Driven Insights

FFT, a global leader in innovative, flexible, and complex manufacturing systems, utilizes the Siemens Industrial Edge ecosystem to help manufacturers securely, scalably, and efficiently transfer production data to the Snowflake AI Data Cloud via its proprietary DataBridge app. This solution is already in use within FFT's own production lines and facilities, demonstrating its ability to meet the highest standards of efficiency and data-driven optimization. The collaboration between Siemens and Snowflake strengthens FFT's role as an integrator and trusted Snowflake partner for automated and flexible manufacturing systems in the mobility and industrial sectors. At the same time, it underscores FFT's status as a Siemens Xcelerator partner.

The joint solution—developed for production managers, data engineers, and IT managers—addresses typical challenges such as data silos, limited transparency, and inefficient analyses. Siemens Industrial Edge enables seamless integration of OT data by connecting various sources, including PLCs, sensors, and other manufacturing systems.

The data is processed directly at the edge, with OT data models, such as AI models, running in a closed loop with production automation. Snowflake's platform then provides actionable insights through AI-driven analyses and agent-based AI functionalities. The result is a measurable efficiency gain—with improved machine performance, enhanced product quality, and reduced maintenance effort.

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