Siemens and Snowflake have launched a strategic collaboration to unify operational and IT data, advancing AI capabilities and transforming manufacturing processes through seamless data integration and real-time analytics.
Siemens and Snowflake have announced a strategic collaboration designed to bridge the historic divide between operational technology (OT) and information technology (IT) data within manufacturing environments, aiming to significantly advance data management, artificial intelligence (AI), and generative AI capabilities for industrial customers.
At the core of this partnership is the integration of Siemens Industrial Edge—a platform that collects and preprocesses real-time production data directly from the shop floor—with Snowflake’s AI Data Cloud, which manages and analyses enterprise-wide IT data such as supply chain logistics and financial information. This convergence enables manufacturers to break down data silos that traditionally separated OT systems like programmable logic controllers (PLCs), sensors, and machine controls from IT infrastructure, fostering a unified data ecosystem that supports comprehensive, actionable insights.
Rainer Brehm, CEO of Factory Automation at Siemens, emphasised the complementary strengths of the two companies, stating that Siemens offers deep expertise in seamlessly connecting OT and IT on the factory floor, while Snowflake provides best-in-class capabilities in handling vast and complex datasets. This synergy, Brehm noted in a statement, facilitates scaling digital transformation efforts across machines, production lines, and entire factories.
Christian Kleinerman, Executive Vice President of Product at Snowflake, highlighted the transformative potential of applying AI to this integrated data landscape. Speaking to this, Kleinerman said the collaboration “unlocks a new reality of possibilities for unparalleled quality improvement and radical performance optimisation,” further pointing to AI-driven automation as a major benefit from this IT/OT convergence.
The combined solution supports plug-and-play Industrial Edge applications, allowing manufacturers to build and extend flexible, scalable data foundations. This approach not only improves data-driven decision-making but also enhances production efficiency, machine reliability, and uptime. The architecture allows preprocessing and transformation of OT data at the edge, enabling real-time feedback loops where AI models operate directly in coordination with production automation systems, thus supporting continuous optimisation on the factory floor.
Industry implementation examples illustrate the benefits of this collaboration. For instance, FFT, a manufacturing systems provider and Siemens partner within the Siemens Xcelerator ecosystem, has integrated the Siemens Industrial Edge with Snowflake’s platform via its DataBridge application. This enables secure and efficient cloud transfer of operational data, facilitating scalable and flexible production management in sectors like mobility and industrial manufacturing.
Beyond operational efficiency, Siemens has also developed an open data mesh platform—Siemens Data Cloud—that ingests data from over 45 ERP systems and supports thousands of projects and users globally. Powered by Snowflake’s data sharing capabilities, Siemens has been able to democratise data access within its organisation, eliminating the need for traditional extract, transform, load (ETL) processes and supporting a wide range of data types and advanced AI functionalities, including generative AI applications and Snowflake Cortex.
This partnership arrives amid growing industry recognition that IT/OT convergence is critical for manufacturers aiming to thrive in the era of Industry 4.0. Such integration provides a unified platform for advanced analytics, predictive maintenance, quality control, and process automation, all powered by AI technologies that turn vast, disparate data streams into competitive advantages.
By combining Siemens’ expertise in factory automation with Snowflake’s scalable cloud data platform, manufacturers are positioned to unlock operational efficiencies, enhance transparency, and drive innovation through AI-enabled insights. As the industrial sector increasingly relies on digital transformation, this partnership offers a robust framework for data-driven manufacturing excellence, helping organisations to streamline workflows, boost machine availability, and deliver improved product quality at scale.
Source: Noah Wire Services
