2026 - AVEVA World - Milan - Sponsor Partner Talks
From Analytics to self-service AI with TrendMiner Agent: How ENGIE scales operational intelligence
With one million tags and over 4,000 PI-System users globally, ENGIE runs one of the largest AVEVA deployments in energy, built on PI Historian, PI-Vision, and PI-Asset Framework. This session shows how ENGIE is scaling industrial analytics and preparing for the agentic era. By connecting their in-house Agathe platform to PI AF, and using an industrial analytics tool on top, ENGIE supports central data scientists in tackling high-value problems while giving site operators the tools to investigate issues themselves. We then showcase the next frontier: The TrendMiner Agent. An agentic AI layer, fully flexible for each environment, either built on MCP, bringing natural-language analytics to every operator, or directly in the platform.
Industry
Chemicals, Discrete Manufacturing, Infrastructure, Mining Metals and Minerals, Oil Gas and Energy, Pulp Paper and Forest Products, Transportation
Company
TrendMiner
Speaker
Frederick Motte
Fréderick Motte is VP of Customer Success at TrendMiner, an industrial analytics SaaS platform for process manufacturing. Fréderick brings 15 years of industry experience spanning advanced process control, industrial software, and AI-powered analytics. He leads CS strategy and team operations globally, partnering with engineering and business stakeholders to help process manufacturers translate analytics into measurable operational impact.
Company
ENGIE
Speaker
Sébastien Grégoire
Sébastien Grégoire is Team Leader for OT Analytics at ENGIE GEN Europe. He started his career at ENGIE’s R&D laboratory, Laborelec, where he spent over two decades developing and deploying advanced condition monitoring and vibration analysis solutions for large turbomachinery. He led diagnostic and remote monitoring teams supporting power plants worldwide. Today, he focuses on digital solutions built on operational data stored in ENGIE’s AVEVA PI historian, improving asset performance, reliability, and support operational and maintenance decisions.