Siemens-Sight Machine AI at Industrial Edge
- April 24, 2024
- William Payne
Siemens AG is partnering Sight Machine to bring manufacturing AI to on-premises automation networks.
Sight Machine’s Manufacturing Data Platform collects, contextualises and analyses manufacturing data. Siemens Industrial Edge comprises applications, OT and IT connectivity, devices, and a central management system for central management of connected devices and software across machines, lines, and plants.
Bringing Sight Machine’s data models and analytics into on-premises systems opens the opportunity for software-defined automation and closed-loop systems. Sight Machine’s software analyses the entire history of production runs to determine the best settings for the current conditions. These Dynamic Recipes are available to guide operators to integrate with control systems for automated optimisation. Sight Machine is now a certified Industrial Edge Solution Partner of Siemens Digital Industries Factory Automation.
“By making Sight Machine available on Siemens Industrial Edge, we’re giving customers a path to deploy AI for manufacturing on edge environments and automation networks,” said Sight Machine CEO and Co-Founder Jon Sobel. “This partnership with Siemens, a globally trusted name in automation, allows for accelerated deployments, communications with a larger range of devices, and a path to build systems using AI models for closed-loop feedback.”
“Partnering with Sight Machine further expands the Edge ecosystem, delivering process optimisation capabilities critical for manufacturers to ensure plants stay competitive. Agility and efficiency are becoming more important for manufacturers each year, while solutions must allow plants to scale operations effectively without excessive costs,” explained Bernd Raithel, Director of Product Management & Marketing at Siemens Factory Automation. “Sight Machine’s software delivers powerful capabilities while ensuring the solution can be replicated and scaled across existing operations and for new deployments.”