Siemens and IFS announced a partnership to connect engineering data with operational data using industrial AI. The collaboration combines Siemens’ digital twin, automation, and manufacturing expertise with IFS’ enterprise asset management and field service capabilities. The goal is to bridge gaps between factory design and daily operations including downtime, maintenance, and supply chain issues. The integrated approach links design intent with real-world equipment performance across the product lifecycle. Industrial AI helps manufacturers compare engineering plans with actual conditions for better future decisions. The partnership addresses pressure to increase output from existing assets while managing costs and equipment life.
Siemens and IFS announced a partnership to connect engineering data with operational data using industrial AI. The collaboration combines Siemens’ digital twin, automation, and manufacturing expertise with IFS’ enterprise asset management and field service capabilities. The goal is to bridge gaps between factory design and daily operations including downtime, maintenance, and supply chain issues. The integrated approach links design intent with real-world equipment performance across the product lifecycle. Industrial AI helps manufacturers compare engineering plans with actual conditions for better future decisions. The partnership addresses pressure to increase output from existing assets while managing costs and equipment life.