2026 - AVEVA World - Milan - Power & Utilities
Ansaldo Energia: Standardizing Asset Intelligence for Predictive Maintenance at Scale
For AI live translation click here. Ansaldo Energia explains how it scaled predictive maintenance by standardizing its data backbone with AVEVA PI System and PI Asset Framework. Learn how template-driven asset models, machine-learning analytics, physically-based calculations, and in-depth analysis using Seeq enable consistent diagnostics, earlier issue detection, and improved decision confidence across global customer power generation fleets.
Industry
Oil Gas and Energy, Power and Utilities
Company
ematica
Speaker
Carlo Pedroli
Project Manager and Senior Product Specialist with over 15 years of experience in industrial data integration for energy, oil & gas, chemical and utilities sectors. Certified AVEVA PI System Infrastructure Specialist at e-matica srl, I delivered projects for major clients including A2A, Ansaldo Energia, ENI, Iren, Enel, LyondellBasell and Repsol. Expert in custom solution development using AF SDK, real-time data management and machine learning integration for industrial process monitoring.
Company
Ansaldo Energia S.p.A.
Speaker
Francesco Fanciulli
I'm an engineer with a strong data science focus, combining process expertise with statistical analysis and machine learning. After two engineering master's degrees, I started developing Ansaldo Energia’s ML platform APEX during my research at the University of Genoa. Since 2019, I’ve been enhancing APEX for predictive maintenance and performance analysis across the combined cycle, turning data into actionable insights.