How do you move from "impressive but generic" AI to AI that truly understands how your business operates? In this session recorded at the Tech for Industry Show, Geoffrey Gabelle (Head of Partnerships France, Celonis) and Antoine Cavelius (AI Lead France, Celonis) introduce the operational context model: the missing layer between your raw data (ERP, MES, WMS, CRM) and your AI agents.
The talk covers the fundamentals of process mining and process intelligence, building a living digital twin of operations, the growing demand for measurable AI ROI, and a hands-on demo on shop floor optimization — analyzing production order delays, tracing root causes (machine downtime, late supplier deliveries), predictive maintenance, and orchestrating corrective actions through AI agents (Microsoft Copilot Studio, AWS Bedrock). Real-world use cases include BMW (engine assembly lines) and Mercedes-Benz (semiconductor prioritization during the Covid chip shortage).
A must-watch for manufacturing, supply chain and IT leaders looking to scale enterprise AI, cut costs and turn processes into a competitive advantage — at the heart of Industry 4.0 and the factory of the future.
