Published on July 9, 2026
How Alstom and Exide Technologies use AI, simulation, and data to accelerate innovation and performance
How many meters of cable to run a single train car? 18 km. That figure captures the industrial complexity Alstom and Exide Technology face. In this panel recorded at the Tech for Industry Show, Mehdi Belahcen (Cloud Director, Alstom) and Patrice Bessiere (IT Director Solution Delivery, Exide) share, with Oracle, two transformation journeys with different businesses but common challenges.
The discussion covers: the triggers for transformation (at Exide, migrating a legacy ERP to Oracle Fusion Cloud amid a change of shareholders and aging teams, after screening 10 then 3 then 1 ERP; at Alstom, exponential growth in the services market and five M&A projects in ten years); the fit-to-standard approach and its extension into a data-center-exit strategy on OCI; high-impact use cases: cloud HPC letting Alstom run in weeks the homologation simulations of a US high-speed train that would have taken 18 months — and get paid a year earlier; predictive maintenance (the Hub platform) hosted in Saudi Arabia for the Riyadh metro, with data sovereignty requirements; real-time analytics and AI-augmented dashboards at Exide; and AI applied to analyzing rail tenders (thousands of pages) and assisting 7,000 Alstom developers (10-15% productivity gains). Plus the partner ecosystem (DXC, Capgemini, Mastech/EVO6) and the new "train per kilometer" business model.
A reference panel for CIOs, cloud, data and industrial leaders.