AVEVA and IFS Unveil Strategic Alliance at AVEVA World Milan to Bridge Industrial Data Silos
Industrial software pioneer AVEVA has formalized a new technology partnership with IFS, a global leader in AI-powered enterprise software for asset-intensive industries. The collaboration is engineered to enable complex industrial organizations to seamlessly connect operational intelligence, enterprise execution, and strategic capital planning.
Transforming Real-Time Metrics into Actionable Strategy Caspar Herzberg, Chief Executive Officer of AVEVA, alongside Mark Moffat, Chief Executive Officer of IFS, revealed the foundational phase of the alliance during the AVEVA World summit in Milan. The initial rollout introduces specialized solutions under the banner "Continuous Intelligence for Asset Decisions." This joint framework is designed to transform real-time asset data and operational workflows into smarter maintenance, investment, and execution parameters across the entire integrated asset lifecycle. The core takeaway for enterprise clients is a significant reduction in speculative forecasting, enabling faster, data-backed decision-making derived from clear evidence.
Herzberg noted that artificial intelligence only delivers real-world value when a comprehensive, birds-eye perspective is achieved. He emphasized that the alliance bridges data sets and strategic insights in powerful ways, stretching from localized hardware sensors directly to C-suite boardrooms. He added that the architectural framework is deployed, market demand is pressing, and AI opportunities have become highly practical, embodying the true definition of radical collaboration.
Addressing the Insight-to-Execution Gap The strategic implementation addresses a critical bottleneck documented across industrial ecosystems. Historically, real-time operational data has remained isolated within operations engineering teams, while maintenance logs, shutdown timelines, spare parts inventories, workforce capacities, and capital expenditure priorities are housed in siloed enterprise systems. This fragmentation prevents leadership from compiling a unified view of complex infrastructure portfolios, severely delaying the critical transition from analytical insight to field execution.