New enhancements unify engineering, operations, and asset data on the CONNECT platform to accelerate digital transformation
AVEVA, a global leader in industrial software and digital transformation, has unveiled major advancements to its industrial digital twin portfolio, signaling a new era of edge-to-cloud industrial intelligence. The announcement, made at Schneider Electric’s Innovation Summit in Copenhagen, introduced key updates to AVEVA Asset Information Management, AVEVA System Platform, and the AVEVA PI Data Infrastructure—all now unified under the company’s CONNECT industrial intelligence platform.
The new capabilities are designed to converge engineering and operations data in a single, flexible user interface. By eliminating data silos, AVEVA enables customers to visualize real-time process information alongside engineering documentation and maintenance records—creating a trusted digital twin that improves decision-making, boosts asset reliability, and reduces operational costs.
“By bringing trusted information and real-time data together, we’re enabling organizations to build a scalable, high-fidelity digital twin that drives true industrial intelligence.”
— Rob McGreevy, Chief Product Officer, AVEVA
“Our technology aggregates and validates asset information based on industry data standards to create a unified digital twin,” said Rob McGreevy, Chief Product Officer, AVEVA. “The integration of real-time operational data within the CONNECT platform unlocks new value through AI-driven analytics and visualization.”
Built on Microsoft Azure, the CONNECT platform enhances hybrid connectivity and scalability, empowering organizations to deploy industrial digital twin solutions enterprise-wide. According to Dayan Rodriguez, Corporate VP for Manufacturing at Microsoft, “By expanding the capabilities of the AVEVA portfolio on Azure, we’re unlocking AI-powered insights and seamless visualization that drive industrial innovation at scale.”
With these innovations, the company is helping global industries—from energy and infrastructure to manufacturing and food processing—achieve deeper operational insight, accelerate digital transformation, and advance their sustainability goals through data-driven industrial intelligence.
