tech
The AI Interview: Philippe Rambach, Schneider Electric
Philippe Rambach, CAIO at Schneider Electric, explains why critical thinking and a business-first strategy are essential for scaling AI across factories
TL;DR
- Schneider Electric's AI strategy prioritizes business value and real-world utility over technology trends, avoiding 'technology tourism'.
- A structured process with gate reviews assesses both technical feasibility and business value for AI use cases.
- Critical thinking training is crucial for employees to evaluate AI outputs accurately and prevent over-reliance.
- Agentic AI, like Sera, enhances interaction with data rather than replacing core AI functions like forecasting and optimization.
- Decisions on deploying AI at the edge or in the cloud are driven by data sovereignty concerns and latency requirements.
- Schneider Electric is aware of the energy density crisis caused by LLMs and uses AI to optimize data center operations and power management.
- The company follows a strict ethical framework, including an external Trust Charter, and is compliant with the EU AI Act.
- The role of the CAIO is evolving towards defining technical policy and supporting large-scale use cases, avoiding becoming a bottleneck.