Siemens is collaborating with Snowflake, the AI knowledge cloud firm, to assist producers join their operational expertise (OT) knowledge from the store ground with info expertise (IT) knowledge, resembling provide chain administration and monetary knowledge.
In accordance with the 2 corporations, by connecting Siemens Industrial Edge and Snowflake’s AI Knowledge Cloud, producers can entry plug-and-play Industrial Edge purposes to contextualize and switch OT knowledge into IT methods. This integration allows producers to construct the information basis required for gaining deeper insights, enhancing machine efficiency, growing machine availability and optimizing manufacturing processes throughout their services.
Right here’s how the 2 methods work collectively. Siemens Industrial Edge is designed for manufacturing managers, knowledge engineers and IT leaders to deal with frequent challenges resembling knowledge silos, restricted transparency and inefficient analytics. It does this by connecting to a variety of sources, together with PLCs, sensors and different manufacturing methods to pre-process knowledge on the edge earlier than utilizing it in OT knowledge fashions for closed-loop manufacturing automation purposes. With the information correctly processed, Snowflake’s platform delivers operations insights by means of AI-powered analytics and agentic AI capabilities. The result’s a measurable enhance in operational effectivity, with increased machine efficiency, enhanced product high quality and diminished upkeep wants.
FFT, a supplier of automation parts, methods and integration providers, makes use of the Siemens Industrial Edge ecosystem to assist producers securely switch manufacturing knowledge into the Snowflake AI Knowledge Cloud by means of its DataBridge app. FFT is already utilizing this by itself manufacturing strains and services, demonstrating its functionality to satisfy the corporate’s highest requirements of effectivity and data-driven optimization.
